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Ting Liu 0001
Person information
- affiliation: Harbin Institute of Technology, Research Center for Social Computing and Information Retrieval, China
- affiliation (PhD 1998): Harbin Institute of Technology, Department of Computer Science, China
Other persons with the same name
- Ting Liu — disambiguation page
- Ting Liu 0002
— Xi'an Jiaotong University, School of Electronic and Information Engineering, MOEKLINNS, China
- Ting Liu 0003 — State University of New York at Albany, NY, USA
- Ting Liu 0004 — AUG Signals Ltd., Toronto, ON, Canada
- Ting Liu 0005
— Google, Inc. (and 1 more)
- Ting Liu 0006 — Carnegie Mellon University, School of Computer Science, Pittsburgh, PA, USA
- Ting Liu 0007 — Henri Poincaré University, Nancy, France
- Ting Liu 0008
— Harbin Institute of Technology, Department of Control Science and Engineering, China
- Ting Liu 0009 — Nanyang Technological University, School of Electrical and Electronic Engineering, Singapore
- Ting Liu 0010
— Chinese Academy of Sciences, Academy of Mathematics and Systems Sciences, Key Laboratory of Systems and Control, Beijing, China
- Ting Liu 0011
— Beijing University of Posts and Telecommunications, School of Electronic Engineering, Beijing, China
- Ting Liu 0012
— Beijing Jiaotong University, Institute of Information Science, Beijing, China
- Ting Liu 0013
— Nanjing University of Information Science and Technology, Nanjing, China (and 1 more)
- Ting Liu 0014
— Guangdong University of Technology, Department of Communication Engineering, Guangzhou, China
- Ting Liu 0015 — Tianjin University, Department of Management and Economics, China
- Ting Liu 0016
— Shanghai Jiao Tong University, School of Electronic Information and Electrical Engineering, School of Microelectronics, China
- Ting Liu 0017
— National University of Defense Technology, NUDT, College of Electronic Science and Technology, Changsha, China
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Journal Articles
- 2024
- [j105]Wei Song, Hongfei Han, Xu Han, Miaomiao Cheng, Jiefu Gong, Shijin Wang, Ting Liu:
Discriminative explicit instance selection for implicit discourse relation classification. Frontiers Comput. Sci. 18(4): 184340 (2024) - [j104]Bowen Chen
, Xiao Ding
, Yi Zhao, Bo Fu, Tingmao Lin, Bing Qin, Ting Liu:
Text Difficulty Study: Do Machines Behave the Same as Humans Regarding Text Difficulty? Mach. Intell. Res. 21(2): 283-293 (2024) - [j103]Jinglong Gao
, Xiao Ding
, Zhongyang Li, Ting Liu, Bing Qin:
Event Causality Identification via Competitive-Cooperative Cognition Networks. Knowl. Based Syst. 300: 112139 (2024) - [j102]Tingting Wu
, Xiao Ding
, Hao Zhang
, Minji Tang, Bing Qin, Ting Liu:
Uncertainty-guided label correction with wavelet-transformed discriminative representation enhancement. Neural Networks 176: 106383 (2024) - [j101]Tingting Wu
, Xiao Ding
, Hao Zhang
, Jinglong Gao
, Minji Tang, Li Du, Bing Qin
, Ting Liu:
DiscrimLoss: A Universal Loss for Hard Samples and Incorrect Samples Discrimination. IEEE Trans. Multim. 26: 1957-1968 (2024) - [j100]Longxuan Ma
, Jiapeng Li
, Mingda Li
, Weinan Zhang
, Ting Liu
:
Policy-driven Knowledge Selection and Response Generation for Document-grounded Dialogue. ACM Trans. Inf. Syst. 42(2): 49:1-49:29 (2024) - 2023
- [j99]Le Qi, Yu Zhang, Ting Liu:
Bidirectional Transformer with absolute-position aware relative position encoding for encoding sentences. Frontiers Comput. Sci. 17(1): 171301 (2023) - [j98]Zeming Liu
, Ding Zhou
, Hao Liu
, Haifeng Wang
, Zheng-Yu Niu, Hua Wu, Wanxiang Che
, Ting Liu, Hui Xiong:
Graph-Grounded Goal Planning for Conversational Recommendation. IEEE Trans. Knowl. Data Eng. 35(5): 4923-4939 (2023) - [j97]Weinan Zhang
, Yiming Cui
, Kaiyan Zhang
, Yifa Wang
, Qingfu Zhu
, Lingzhi Li
, Ting Liu
:
A Static and Dynamic Attention Framework for Multi Turn Dialogue Generation. ACM Trans. Inf. Syst. 41(1): 15:1-15:30 (2023) - [j96]Haoyu Song
, Wei-Nan Zhang
, Kaiyan Zhang
, Ting Liu
:
A Stack-Propagation Framework for Low-Resource Personalized Dialogue Generation. ACM Trans. Inf. Syst. 41(3): 68:1-68:36 (2023) - 2022
- [j95]Le Qi
, Yu Zhang
, Qingyu Yin, Ting Liu:
MS-Transformer: Introduce multiple structural priors into a unified transformer for encoding sentences. Comput. Speech Lang. 72: 101304 (2022) - [j94]Jiaqi Li, Ming Liu, Bing Qin, Ting Liu:
A survey of discourse parsing. Frontiers Comput. Sci. 16(5): 165329 (2022) - [j93]Li Du
, Xiao Ding, Kai Xiong
, Ting Liu, Bing Qin:
Enhancing pretrained language models with structured commonsense knowledge for textual inference. Knowl. Based Syst. 254: 109488 (2022) - [j92]Shaolei Wang, Zhongyuan Wang, Wanxiang Che, Sendong Zhao, Ting Liu:
Combining Self-supervised Learning and Active Learning for Disfluency Detection. ACM Trans. Asian Low Resour. Lang. Inf. Process. 21(3): 62:1-62:25 (2022) - [j91]Yiming Cui
, Wanxiang Che, Ziqing Yang, Ting Liu, Bing Qin, Shijin Wang, Guoping Hu:
Interactive Gated Decoder for Machine Reading Comprehension. ACM Trans. Asian Low Resour. Lang. Inf. Process. 21(4): 72:1-72:19 (2022) - [j90]Libo Qin
, Fuxuan Wei, Minheng Ni, Yue Zhang, Wanxiang Che, Yangming Li, Ting Liu:
Multi-domain Spoken Language Understanding Using Domain- and Task-aware Parameterization. ACM Trans. Asian Low Resour. Lang. Inf. Process. 21(4): 77:1-77:17 (2022) - [j89]Yiming Cui
, Ting Liu
, Wanxiang Che
, Zhigang Chen, Shijin Wang:
Teaching Machines to Read, Answer and Explain. IEEE ACM Trans. Audio Speech Lang. Process. 30: 1483-1492 (2022) - [j88]Haichao Zhu
, Li Dong, Furu Wei, Bing Qin
, Ting Liu:
Transforming Wikipedia Into Augmented Data for Query-Focused Summarization. IEEE ACM Trans. Audio Speech Lang. Process. 30: 2357-2367 (2022) - [j87]Sendong Zhao
, Meng Jiang
, Bing Qin, Ting Liu, ChengXiang Zhai, Fei Wang:
Structural and Textual Information Fusion for Symptom and Disease Representation Learning. IEEE Trans. Knowl. Data Eng. 34(9): 4468-4483 (2022) - [j86]Longxuan Ma
, Mingda Li, Wei-Nan Zhang
, Jiapeng Li, Ting Liu:
Unstructured Text Enhanced Open-Domain Dialogue System: A Systematic Survey. ACM Trans. Inf. Syst. 40(1): 9:1-9:44 (2022) - 2021
- [j85]Kai Xiong
, Xiao Ding, Li Du, Ting Liu, Bing Qin:
Heterogeneous graph knowledge enhanced stock market prediction. AI Open 2: 168-174 (2021) - [j84]Xiao Ding, Jihao Shi, Junwen Duan, Bing Qin, Ting Liu:
Quantifying the effects of long-term news on stock markets on the basis of the multikernel Hawkes process. Sci. China Inf. Sci. 64(9) (2021) - [j83]Xiaocheng Feng
, Heng Gong, Yuyu Chen, Yawei Sun, Bing Qin, Wei Bi, Xiaojiang Liu, Ting Liu:
Learning number reasoning for numerical table-to-text generation. Int. J. Mach. Learn. Cybern. 12(8): 2269-2280 (2021) - [j82]Yaqin Geng, Ting Liu, Yu Ding, Wei Liu, Jiayi Ye, Linlin Hu, Li Ruan:
Deep Learning-Based Self-Efficacy X-Ray Images in the Evaluation of Rheumatoid Arthritis Combined with Osteoporosis Nursing. Sci. Program. 2021: 9959617:1-9959617:8 (2021) - [j81]Zhongyang Li
, Xiao Ding, Ting Liu:
TransBERT: A Three-Stage Pre-training Technology for Story-Ending Prediction. ACM Trans. Asian Low Resour. Lang. Inf. Process. 20(1): 16:1-16:20 (2021) - [j80]Jun Xu, Zeyang Lei, Haifeng Wang, Zheng-Yu Niu, Hua Wu, Wanxiang Che
, Jizhou Huang
, Ting Liu:
Coherent Dialog Generation with Query Graph. ACM Trans. Asian Low Resour. Lang. Inf. Process. 20(6): 101:1-101:23 (2021) - [j79]Wei Song
, Jingjin Guo, Ruiji Fu, Ting Liu, Lizhen Liu:
A Knowledge Graph Embedding Approach for Metaphor Processing. IEEE ACM Trans. Audio Speech Lang. Process. 29: 406-420 (2021) - [j78]Libo Qin
, Wanxiang Che
, Minheng Ni
, Yangming Li, Ting Liu:
Knowing Where to Leverage: Context-Aware Graph Convolutional Network With an Adaptive Fusion Layer for Contextual Spoken Language Understanding. IEEE ACM Trans. Audio Speech Lang. Process. 29: 1280-1289 (2021) - [j77]Yiming Cui
, Wanxiang Che
, Ting Liu, Bing Qin, Ziqing Yang
:
Pre-Training With Whole Word Masking for Chinese BERT. IEEE ACM Trans. Audio Speech Lang. Process. 29: 3504-3514 (2021) - [j76]Tianwen Jiang
, Qingkai Zeng, Tong Zhao
, Bing Qin, Ting Liu, Nitesh V. Chawla
, Meng Jiang
:
Biomedical Knowledge Graphs Construction From Conditional Statements. IEEE ACM Trans. Comput. Biol. Bioinform. 18(3): 823-835 (2021) - 2020
- [j75]Lydia Lazib, Bing Qin, Yanyan Zhao
, Weinan Zhang, Ting Liu:
A syntactic path-based hybrid neural network for negation scope detection. Frontiers Comput. Sci. 14(1): 84-94 (2020) - [j74]Yu Zhang, Mingxiang Tuo, Qingyu Yin, Le Qi
, Xuxiang Wang, Ting Liu:
Keywords extraction with deep neural network model. Neurocomputing 383: 113-121 (2020) - [j73]Yuxuan Wang, Yutai Hou, Wanxiang Che
, Ting Liu:
From static to dynamic word representations: a survey. Int. J. Mach. Learn. Cybern. 11(7): 1611-1630 (2020) - [j72]Xiaocheng Feng, Zhangyin Feng, Wanlong Zhao
, Bing Qin, Ting Liu:
Enhanced Neural Machine Translation by Joint Decoding with Word and POS-tagging Sequences. Mob. Networks Appl. 25(5): 1722-1728 (2020) - [j71]Qingyu Yin, Weinan Zhang, Yu Zhang, Ting Liu:
Chinese Zero Pronoun Resolution: A Collaborative Filtering-based Approach. ACM Trans. Asian Low Resour. Lang. Inf. Process. 19(1): 3:1-3:20 (2020) - [j70]Yijia Liu
, Wanxiang Che, Yuxuan Wang, Bo Zheng, Bing Qin, Ting Liu:
Deep Contextualized Word Embeddings for Universal Dependency Parsing. ACM Trans. Asian Low Resour. Lang. Inf. Process. 19(1): 9:1-9:17 (2020) - [j69]Qingfu Zhu, Weinan Zhang, Lei Cui, Ting Liu:
Order-Sensitive Keywords Based Response Generation in Open-Domain Conversational Systems. ACM Trans. Asian Low Resour. Lang. Inf. Process. 19(2): 18:1-18:18 (2020) - [j68]Yijia Liu
, Wanxiang Che, Bing Qin, Ting Liu:
Exploring Segment Representations for Neural Semi-Markov Conditional Random Fields. IEEE ACM Trans. Audio Speech Lang. Process. 28: 813-824 (2020) - [j67]Jizhou Huang
, Haifeng Wang
, Wei Zhang, Ting Liu:
Multi-Task Learning for Entity Recommendation and Document Ranking in Web Search. ACM Trans. Intell. Syst. Technol. 11(5): 54:1-54:24 (2020) - [j66]Yibo Sun
, Duyu Tang, Nan Duan
, Tao Qin
, Shujie Liu, Zhao Yan
, Ming Zhou, Yuanhua Lv, Wenpeng Yin
, Xiaocheng Feng, Bing Qin, Ting Liu:
Joint Learning of Question Answering and Question Generation. IEEE Trans. Knowl. Data Eng. 32(5): 971-982 (2020) - 2019
- [j65]Xiao Ding
, Qiankun Shi, Bibo Cai, Ting Liu, Yanyan Zhao
, Qiang Ye:
Learning Multi-Domain Adversarial Neural Networks for Text Classification. IEEE Access 7: 40323-40332 (2019) - [j64]Dong Jing, Ting Liu:
Context-based influence maximization with privacy protection in social networks. EURASIP J. Wirel. Commun. Netw. 2019: 142 (2019) - [j63]Weinan Zhang, Ting Liu, Qingyu Yin, Yu Zhang:
Neural recovery machine for Chinese dropped pronoun. Frontiers Comput. Sci. 13(5): 1023-1033 (2019) - [j62]Han Xue, Bing Qin, Ting Liu, Shen Liu:
Tag recommendation based on topic hierarchy of folksonomy. Int. J. Comput. Sci. Eng. 20(1): 49-58 (2019) - [j61]Lydia Lazib, Yanyan Zhao, Bing Qin, Ting Liu:
Negation scope detection with recurrent neural networks models in review texts. Int. J. High Perform. Comput. Netw. 13(2): 211-221 (2019) - [j60]Maosheng Guo
, Yu Zhang, Dezhi Zhao, Ting Liu:
Mining predicate-based entailment rules using deep contextual architecture. Neurocomputing 323: 52-61 (2019) - [j59]Yang Li
, Ting Liu, Jingwen Hu, Jing Jiang:
Topical Co-Attention Networks for hashtag recommendation on microblogs. Neurocomputing 331: 356-365 (2019) - [j58]Ming Liu
, Yanyan Zhao
, Bing Qin, Ting Liu:
Collective entity linking: a random walk-based perspective. Knowl. Inf. Syst. 60(3): 1611-1643 (2019) - [j57]Junwen Duan
, Xiao Ding
, Yue Zhang, Ting Liu:
TEND: A Target-Dependent Representation Learning Framework for News Document. IEEE ACM Trans. Audio Speech Lang. Process. 27(12): 2313-2325 (2019) - [j56]Ming Liu, Gu Gong, Bing Qin, Ting Liu:
A Multi-View-Based Collective Entity Linking Method. ACM Trans. Inf. Syst. 37(2): 23:1-23:29 (2019) - [j55]Wei-Nan Zhang, Qingfu Zhu, Yifa Wang, Yanyan Zhao
, Ting Liu:
Neural personalized response generation as domain adaptation. World Wide Web 22(4): 1427-1446 (2019) - 2018
- [j54]Xiaocheng Feng, Bing Qin, Ting Liu:
A language-independent neural network for event detection. Sci. China Inf. Sci. 61(9): 092106:1-092106:12 (2018) - [j53]Rekia Kadari, Yu Zhang, Weinan Zhang, Ting Liu:
CCG supertagging via Bidirectional LSTM-CRF neural architecture. Neurocomputing 283: 31-37 (2018) - [j52]Rekia Kadari, Yu Zhang, Weinan Zhang, Ting Liu:
CCG supertagging with bidirectional long short-term memory networks. Nat. Lang. Eng. 24(1): 77-90 (2018) - [j51]Jizhou Huang
, Shiqiang Ding, Haifeng Wang
, Ting Liu:
Learning to Recommend Related Entities With Serendipity for Web Search Users. ACM Trans. Asian Low Resour. Lang. Inf. Process. 17(3): 25:1-25:22 (2018) - [j50]Jizhou Huang
, Yaming Sun
, Wei Zhang
, Haifeng Wang
, Ting Liu:
Entity Highlight Generation as Statistical and Neural Machine Translation. IEEE ACM Trans. Audio Speech Lang. Process. 26(10): 1860-1872 (2018) - 2017
- [j49]Luyang Li, Bing Qin, Ting Liu:
Contradiction Detection with Contradiction-Specific Word Embedding. Algorithms 10(2): 59 (2017) - [j48]Junwen Duan, Xiao Ding, Ting Liu:
A Gaussian copula regression model for movie box-office revenues prediction. Sci. China Inf. Sci. 60(9): 092103:1-092103:14 (2017) - [j47]Yanyan Zhao
, Bing Qin, Ting Liu:
Encoding syntactic representations with a neural network for sentiment collocation extraction. Sci. China Inf. Sci. 60(11): 110101:1-110101:12 (2017) - [j46]Yang Li
, Jing Jiang, Ting Liu:
Inferring User Consumption Preferences from Social Media. IEICE Trans. Inf. Syst. 100-D(3): 537-545 (2017) - [j45]Dong Jing, Ting Liu:
Diffusing information for mobile social networks under consideration of dynamic influence. Int. J. Distributed Sens. Networks 13(4) (2017) - [j44]Luyang Li, Bing Qin, Wenjing Ren, Ting Liu:
Document representation and feature combination for deceptive spam review detection. Neurocomputing 254: 33-41 (2017) - [j43]Yang Li
, Jing Jiang, Ting Liu, Minghui Qiu, Xiaofei Sun:
Personalized Microtopic Recommendation on Microblogs. ACM Trans. Intell. Syst. Technol. 8(6): 77:1-77:21 (2017) - 2016
- [j42]Han Xue, Bing Qin, Ting Liu, Shen Liu:
Topic hierarchy construction from heterogeneous evidence. Frontiers Comput. Sci. 10(1): 136-146 (2016) - [j41]Sendong Zhao, Ting Liu, Sicheng Zhao, Yiheng Chen, Jian-Yun Nie
:
Event causality extraction based on connectives analysis. Neurocomputing 173: 1943-1950 (2016) - [j40]Hailong Qin
, Jing Liu, Chin-Yew Lin, Ting Liu:
Tagging Users' Social Circles via Multiple Linear Regression. Informatics 3(3): 10 (2016) - [j39]Jiang Guo, Wanxiang Che, David Yarowsky, Haifeng Wang
, Ting Liu:
A Distributed Representation-Based Framework for Cross-Lingual Transfer Parsing. J. Artif. Intell. Res. 55: 995-1023 (2016) - [j38]Ting Liu, Weinan Zhang, Yu Zhang:
SocialRobot: a big data-driven humanoid intelligent system in social media services. Multim. Syst. 22(1): 17-27 (2016) - [j37]Ting Liu, Hailong Qin:
Detecting and tagging users' social circles in social media. Multim. Syst. 22(4): 423-431 (2016) - [j36]Ting Liu, Xiao Ding, Yiheng Chen, Haochen Chen, Maosheng Guo:
Predicting movie Box-office revenues by exploiting large-scale social media content. Multim. Tools Appl. 75(3): 1509-1528 (2016) - [j35]Yanyan Zhao
, Bing Qin, Ting Liu, Duyu Tang:
Social sentiment sensor: a visualization system for topic detection and topic sentiment analysis on microblog. Multim. Tools Appl. 75(15): 8843-8860 (2016) - [j34]Han Xue, Bing Qin, Ting Liu:
Topical key concept extraction from folksonomy through graph-based ranking. Multim. Tools Appl. 75(15): 8875-8893 (2016) - [j33]Duyu Tang, Furu Wei, Bing Qin, Nan Yang, Ting Liu, Ming Zhou:
Sentiment Embeddings with Applications to Sentiment Analysis. IEEE Trans. Knowl. Data Eng. 28(2): 496-509 (2016) - [j32]Weinan Zhang, Zhaoyan Ming, Yu Zhang, Ting Liu, Tat-Seng Chua:
Capturing the Semantics of Key Phrases Using Multiple Languages for Question Retrieval. IEEE Trans. Knowl. Data Eng. 28(4): 888-900 (2016) - 2015
- [j31]Yanyan Zhao
, Bing Qin, Ting Liu:
Creating a Fine-Grained Corpus for Chinese Sentiment Analysis. IEEE Intell. Syst. 30(1): 36-43 (2015) - [j30]Junwen Duan, Yiheng Chen, Ting Liu, Xiao Ding:
Mining Intention-Related Products on Online Q&A Community. J. Comput. Sci. Technol. 30(5): 1054-1062 (2015) - [j29]Xiao Ding, Bing Qin, Ting Liu:
BUEES: a bottom-up event extraction system. Frontiers Inf. Technol. Electron. Eng. 16(7): 541-552 (2015) - [j28]Ruiji Fu, Bing Qin, Ting Liu:
Open-categorical text classification based on multi-LDA models. Soft Comput. 19(1): 29-38 (2015) - [j27]Ruiji Fu, Jiang Guo, Bing Qin, Wanxiang Che, Haifeng Wang
, Ting Liu:
Learning Semantic Hierarchies: A Continuous Vector Space Approach. IEEE ACM Trans. Audio Speech Lang. Process. 23(3): 461-471 (2015) - [j26]Duyu Tang, Bing Qin, Furu Wei, Li Dong, Ting Liu, Ming Zhou:
A Joint Segmentation and Classification Framework for Sentence Level Sentiment Classification. IEEE ACM Trans. Audio Speech Lang. Process. 23(11): 1750-1761 (2015) - [j25]Wanxiang Che, Yanyan Zhao
, Honglei Guo, Zhong Su, Ting Liu:
Sentence Compression for Aspect-Based Sentiment Analysis. IEEE ACM Trans. Audio Speech Lang. Process. 23(12): 2111-2124 (2015) - [j24]Duyu Tang, Bing Qin, Ting Liu:
Deep learning for sentiment analysis: successful approaches and future challenges. WIREs Data Mining Knowl. Discov. 5(6): 292-303 (2015) - 2014
- [j23]Wanxiang Che, Jiang Guo, Ting Liu:
ReliAble dependency arc recognition. Expert Syst. Appl. 41(4): 1716-1722 (2014) - [j22]Ruiji Fu, Bing Qin, Ting Liu:
Generating Chinese named entity data from parallel corpora. Frontiers Comput. Sci. 8(4): 629-641 (2014) - [j21]Zhenghua Li, Min Zhang, Wanxiang Che, Ting Liu, Wenliang Chen:
Joint Optimization for Chinese POS Tagging and Dependency Parsing. IEEE ACM Trans. Audio Speech Lang. Process. 22(1): 274-286 (2014) - 2012
- [j20]Dayong Wu, Yu Zhang, Ting Liu:
Unsupervised Query Segmentation Using Monolingual Word Alignment Method. Comput. Inf. Sci. 5(1): 13-19 (2012) - [j19]Ruifang He, Bing Qin, Ting Liu:
A novel approach to update summarization using evolutionary manifold-ranking and spectral clustering. Expert Syst. Appl. 39(3): 2375-2384 (2012) - 2011
- [j18]Yanyan Zhao, Bing Qin, Wanxiang Che, Ting Liu:
Appraisal Expression Recognition with Syntactic Path for Sentence Sentiment Classification. Int. J. Comput. Process. Orient. Lang. 23(1): 21-37 (2011) - 2010
- [j17]Zhichang Zhang, Yu Zhang, Ting Liu, Sheng Li:
Automatic Recognition of Focus and Interrogative Word in Chinese Question for Classification. Comput. Inf. Sci. 3(1): 168-174 (2010) - [j16]Yiheng Chen, Bing Qin, Ting Liu, Yuanchao Liu, Sheng Li:
The Comparison of SOM and K-means for Text Clustering. Comput. Inf. Sci. 3(2): 268-274 (2010) - [j15]Ruifang He, Bing Qin, Ting Liu, Sheng Li:
Cascaded Regression Analysis Based Temporal Multi-document Summarization. Informatica (Slovenia) 34(1): 119-124 (2010) - 2009
- [j14]Jun Lang, Bing Qin, Ting Liu, Sheng Li:
Unsupervised Coreference Resolution with HyperGraph Partitioning. Comput. Inf. Sci. 2(4): 55-63 (2009) - [j13]Yu Hong, Yu Zhang, Ting Liu, Sheng Li:
A Temporal Topic Model for New Event Detection. Int. J. Comput. Process. Orient. Lang. 22(1): 99-130 (2009) - [j12]Yu Hong, Yu Zhang, Ting Liu, Sheng Li:
Incremental Novelty Learning in Adaptive Topic Tracking. Int. J. Asian Lang. Process. 19(1): 13-32 (2009) - [j11]Zhichang Zhang, Yu Zhang, Ting Liu, Sheng Li:
Conceptual Graph Matching Method for Reading Comprehension Tests. J. Inform. and Commun. Convergence Engineering 7(4): 419-430 (2009) - [j10]Shiqi Zhao, Haifeng Wang
, Ting Liu, Sheng Li:
Extracting paraphrase patterns from bilingual parallel corpora. Nat. Lang. Eng. 15(4): 503-526 (2009) - 2008
- [j9]Ruifang He, Bing Qin, Ting Liu, Yuequn Pan, Sheng Li:
A Novel Heuristic Error-Driven Learning for Recognizing Chinese Time Expression. J. Chin. Lang. Comput. 18(4): 139-160 (2008) - [j8]Ruifang He, Bing Qin, Ting Liu, Yang Liu, Sheng Li:
Iterative Feedback Based Manifold-Ranking for Update Summary. Polibits 37: 5-13 (2008) - [j7]Wanxiang Che, Min Zhang, AiTi Aw, Chew Lim Tan, Ting Liu, Sheng Li:
Using a Hybrid Convolution Tree Kernel for Semantic Role Labeling. ACM Trans. Asian Lang. Inf. Process. 7(4): 13:1-13:23 (2008) - [j6]Min Zhang, Wanxiang Che, Guodong Zhou
, AiTi Aw, Chew Lim Tan, Ting Liu, Sheng Li:
Semantic Role Labeling Using a Grammar-Driven Convolution Tree Kernel. IEEE Trans. Speech Audio Process. 16(7): 1315-1329 (2008) - 2007
- [j5]Tiejun Zhao, Yi Guan, Ting Liu, Qiang Wang:
Recent advances on NLP research in Harbin Institute of Technology. Frontiers Comput. Sci. China 1(4): 413-428 (2007) - [j4]Yanqiu Shao, Jiqing Han, Ting Liu, Yongzhen Zhao:
Automatic conversion from lexical words to prosodic words for mandarin text-to-speech system. Int. J. Speech Technol. 10(1): 45-55 (2007) - [j3]Jun Lang, Bing Qin, Ting Liu, Sheng Li:
Intra-document Coreference Resolution: The state of the art. J. Chin. Lang. Comput. 17(4): 227-253 (2007) - 2006
- [j2]Ting Liu, Jinshan Ma, Sheng Li:
Building a Dependency Treebank for Improving Chinese Parser. J. Chin. Lang. Comput. 16(4): 207-224 (2006) - 2005
- [j1]Zhuoran Wang, Ting Liu:
Chinese Unknown Word Identification Based on Local Bigram Model. Int. J. Comput. Process. Orient. Lang. 18(3): 185-196 (2005)
Conference and Workshop Papers
- 2024
- [c308]Haochun Wang, Sendong Zhao, Chi Liu, Nuwa Xi, Muzhen Cai, Bing Qin, Ting Liu:
Manifold-Based Verbalizer Space Re-embedding for Tuning-Free Prompt-Based Classification. AAAI 2024: 19126-19134 - [c307]Zheng Chu, Jingchang Chen, Qianglong Chen, Weijiang Yu, Tao He, Haotian Wang, Weihua Peng, Ming Liu, Bing Qin, Ting Liu:
Navigate through Enigmatic Labyrinth A Survey of Chain of Thought Reasoning: Advances, Frontiers and Future. ACL (1) 2024: 1173-1203 - [c306]Jinglong Gao, Xiao Ding, Yiming Cui, Jianbai Zhao, Hepeng Wang, Ting Liu, Bing Qin:
Self-Evolving GPT: A Lifelong Autonomous Experiential Learner. ACL (1) 2024: 6385-6432 - [c305]Yang Zhao, Li Du, Xiao Ding, Kai Xiong, Zhouhao Sun, Shi Jun, Ting Liu, Bing Qi 0001n:
Deciphering the Impact of Pretraining Data on Large Language Models through Machine Unlearning. ACL (Findings) 2024: 9386-9406 - [c304]Nuwa Xi, Yuhan Chen, Sendong Zhao, Haochun Wang, GongZhang GongZhang, Bing Qin, Ting Liu:
AS-ES Learning: Towards efficient CoT learning in small models. ACL (Findings) 2024: 10686-10697 - [c303]Qi Shi, Han Cui, Haofeng Wang, Qingfu Zhu, Wanxiang Che, Ting Liu:
Exploring Hybrid Question Answering via Program-based Prompting. ACL (1) 2024: 11035-11046 - [c302]Longxuan Ma, Changxin Ke, Shuhan Zhou, Churui Sun, Wei-Nan Zhang, Ting Liu:
A Self-verified Method for Exploring Simile Knowledge from Pre-trained Language Models. LREC/COLING 2024: 1563-1576 - [c301]Yirong Zeng, Xiao Ding, Yi Zhao, Xiangyu Li, Jie Zhang, Chao Yao, Ting Liu, Bing Qin:
RU22Fact: Optimizing Evidence for Multilingual Explainable Fact-Checking on Russia-Ukraine Conflict. LREC/COLING 2024: 14215-14226 - [c300]Zhouhao Sun, Xiao Ding, Li Du, Bibo Cai, Jinglong Gao, Ting Liu, Bing Qin:
Towards Generalizable and Faithful Logic Reasoning over Natural Language via Resolution Refutation. LREC/COLING 2024: 16527-16538 - 2023
- [c299]Bibo Cai, Xiao Ding, Zhouhao Sun, Bing Qin, Ting Liu, Baojun Wang, Lifeng Shang:
Self-Supervised Logic Induction for Explainable Fuzzy Temporal Commonsense Reasoning. AAAI 2023: 12580-12588 - [c298]Li Du, Xiao Ding, Zhouhao Sun, Ting Liu, Bing Qin, Jingshuo Liu:
Towards Stable Natural Language Understanding via Information Entropy Guided Debiasing. ACL (1) 2023: 2868-2882 - [c297]Tingting Wu, Xiao Ding, Minji Tang, Hao Zhang, Bing Qin, Ting Liu:
NoisywikiHow: A Benchmark for Learning with Real-world Noisy Labels in Natural Language Processing. ACL (Findings) 2023: 4856-4873 - [c296]Longxuan Ma, Weinan Zhang, Shuhan Zhou, Churui Sun, Changxin Ke, Ting Liu:
I run as fast as a rabbit, can you? A Multilingual Simile Dialogues Datasets. ACL (Findings) 2023: 7223-7237 - [c295]Sainan Jia, Wei Song, Jiefu Gong, Shijin Wang, Ting Liu:
Sentence Ordering with a Coherence Verifier. ACL (Findings) 2023: 9301-9314 - [c294]Nuwa Xi, Sendong Zhao, Haochun Wang
, Chi Liu, Bing Qin, Ting Liu:
UniCoRN: Unified Cognitive Signal ReconstructioN bridging cognitive signals and human language. ACL (1) 2023: 13277-13291 - [c293]Yushan Qian, Weinan Zhang, Ting Liu:
Harnessing the Power of Large Language Models for Empathetic Response Generation: Empirical Investigations and Improvements. EMNLP (Findings) 2023: 6516-6528 - [c292]Kai Xiong
, Xiao Ding, Yixin Cao, Ting Liu, Bing Qin:
Examining Inter-Consistency of Large Language Models Collaboration: An In-depth Analysis via Debate. EMNLP (Findings) 2023: 7572-7590 - [c291]Jinglong Gao, Xiao Ding, Bing Qin, Ting Liu:
Is ChatGPT a Good Causal Reasoner? A Comprehensive Evaluation. EMNLP (Findings) 2023: 11111-11126 - [c290]Chengpeng Fu, Xiaocheng Feng, Yichong Huang, Wenshuai Huo, Hui Wang, Bing Qin, Ting Liu:
Enabling Unsupervised Neural Machine Translation with Word-level Visual Representations. EMNLP (Findings) 2023: 12608-12618 - [c289]Jie Huang, Xiachong Feng, Yangfan Ye, Liang Zhao, Xiaocheng Feng, Bing Qin, Ting Liu:
Dialogue Context Modelling for Action Item Detection: Solution for ICASSP 2023 Mug Challenge Track 5. ICASSP 2023: 1-2 - 2022
- [c288]Bibo Cai, Xiao Ding, Bowen Chen, Li Du, Ting Liu:
Mitigating Reporting Bias in Semi-supervised Temporal Commonsense Inference with Probabilistic Soft Logic. AAAI 2022: 10454-10462 - [c287]Li Du, Xiao Ding, Kai Xiong, Ting Liu, Bing Qin:
e-CARE: a New Dataset for Exploring Explainable Causal Reasoning. ACL (1) 2022: 432-446 - [c286]Le Qi, Shangwen Lv, Hongyu Li, Jing Liu, Yu Zhang, Qiaoqiao She, Hua Wu, Haifeng Wang, Ting Liu:
DuReadervis: A Chinese Dataset for Open-domain Document Visual Question Answering. ACL (Findings) 2022: 1338-1351 - [c285]Li Du, Xiao Ding, Yue Zhang, Ting Liu, Bing Qin:
A Graph Enhanced BERT Model for Event Prediction. ACL (Findings) 2022: 2628-2638 - [c284]Haoyu Song, Li Dong, Weinan Zhang, Ting Liu, Furu Wei:
CLIP Models are Few-Shot Learners: Empirical Studies on VQA and Visual Entailment. ACL (1) 2022: 6088-6100 - [c283]Yirong Zeng, Xiao Ding, Li Du, Ting Liu, Bing Qin:
CSKE: Commonsense Knowledge Enhanced Text Extension Framework for Text-Based Logical Reasoning. CCKS 2022: 111-122 - [c282]Longxuan Ma, Ziyu Zhuang, Weinan Zhang, Mingda Li, Ting Liu:
SelF-Eval: Self-supervised Fine-grained Dialogue Evaluation. COLING 2022: 485-495 - [c281]Haochun Wang
, Chi Liu, Nuwa Xi, Sendong Zhao, Meizhi Ju, Shiwei Zhang, Ziheng Zhang, Yefeng Zheng, Bing Qin, Ting Liu:
Prompt Combines Paraphrase: Teaching Pre-trained Models to Understand Rare Biomedical Words. COLING 2022: 1422-1431 - [c280]Xiao Ding, Bowen Chen, Li Du, Bing Qin, Ting Liu:
CogBERT: Cognition-Guided Pre-trained Language Models. COLING 2022: 3210-3225 - [c279]Qi Shi, Qian Liu, Bei Chen, Yu Zhang, Ting Liu, Jian-Guang Lou:
LEMON: Language-Based Environment Manipulation via Execution-Guided Pre-training. EMNLP (Findings) 2022: 471-485 - [c278]Kai Xiong, Xiao Ding, Zhongyang Li, Li Du, Ting Liu, Bing Qin, Yi Zheng, Baoxing Huai:
ReCo: Reliable Causal Chain Reasoning via Structural Causal Recurrent Neural Networks. EMNLP 2022: 6426-6438 - [c277]Tingting Wu, Xiao Ding, Minji Tang, Hao Zhang, Bing Qin, Ting Liu:
STGN: an Implicit Regularization Method for Learning with Noisy Labels in Natural Language Processing. EMNLP 2022: 7587-7598 - [c276]Le Qi, Yu Zhang, Qingyu Yin, Guidong Zheng, Wen Junjie, Jinlong Li, Ting Liu:
All Information is Valuable: Question Matching over Full Information Transmission Network. NAACL-HLT (Findings) 2022: 1431-1440 - 2021
- [c275]Yutai Hou, Sanyuan Chen, Wanxiang Che, Cheng Chen, Ting Liu:
C2C-GenDA: Cluster-to-Cluster Generation for Data Augmentation of Slot Filling. AAAI 2021: 13027-13035 - [c274]Yutai Hou, Yongkui Lai, Yushan Wu, Wanxiang Che, Ting Liu:
Few-shot Learning for Multi-label Intent Detection. AAAI 2021: 13036-13044 - [c273]Libo Qin, Zhouyang Li, Wanxiang Che, Minheng Ni, Ting Liu:
Co-GAT: A Co-Interactive Graph Attention Network for Joint Dialog Act Recognition and Sentiment Classification. AAAI 2021: 13709-13717 - [c272]Haoyu Song
, Yan Wang, Kaiyan Zhang, Wei-Nan Zhang, Ting Liu:
BoB: BERT Over BERT for Training Persona-based Dialogue Models from Limited Personalized Data. ACL/IJCNLP (1) 2021: 167-177 - [c271]Libo Qin, Fuxuan Wei, Tianbao Xie, Xiao Xu
, Wanxiang Che, Ting Liu:
GL-GIN: Fast and Accurate Non-Autoregressive Model for Joint Multiple Intent Detection and Slot Filling. ACL/IJCNLP (1) 2021: 178-188 - [c270]Jiefu Gong, Xiao Hu, Wei Song, Ruiji Fu, Zhichao Sheng, Bo Zhu, Shijin Wang, Ting Liu:
IFlyEA: A Chinese Essay Assessment System with Automated Rating, Review Generation, and Recommendation. ACL (demo) 2021: 240-248 - [c269]Chenglei Si, Ziqing Yang, Yiming Cui, Wentao Ma, Ting Liu, Shijin Wang:
Benchmarking Robustness of Machine Reading Comprehension Models. ACL/IJCNLP (Findings) 2021: 634-644 - [c268]Xiachong Feng, Xiaocheng Feng, Libo Qin, Bing Qin, Ting Liu:
Language Model as an Annotator: Exploring DialoGPT for Dialogue Summarization. ACL/IJCNLP (1) 2021: 1479-1491 - [c267]Yuxuan Wang, Wanxiang Che, Ivan Titov, Shay B. Cohen, Zhilin Lei, Ting Liu:
A Closer Look into the Robustness of Neural Dependency Parsers Using Better Adversarial Examples. ACL/IJCNLP (Findings) 2021: 2344-2354 - [c266]Li Du, Xiao Ding, Kai Xiong, Ting Liu, Bing Qin:
ExCAR: Event Graph Knowledge Enhanced Explainable Causal Reasoning. ACL/IJCNLP (1) 2021: 2354-2363 - [c265]Baoxin Wang, Wanxiang Che, Dayong Wu, Shijin Wang, Guoping Hu, Ting Liu:
Dynamic Connected Networks for Chinese Spelling Check. ACL/IJCNLP (Findings) 2021: 2437-2446 - [c264]Yutai Hou, Yongkui Lai, Cheng Chen, Wanxiang Che, Ting Liu:
Learning to Bridge Metric Spaces: Few-shot Joint Learning of Intent Detection and Slot Filling. ACL/IJCNLP (Findings) 2021: 3190-3200 - [c263]Bo Zheng, Li Dong, Shaohan Huang, Wenhui Wang, Zewen Chi, Saksham Singhal, Wanxiang Che, Ting Liu, Xia Song, Furu Wei:
Consistency Regularization for Cross-Lingual Fine-Tuning. ACL/IJCNLP (1) 2021: 3403-3417 - [c262]Wei Song, Shuhui Zhou, Ruiji Fu, Ting Liu, Lizhen Liu:
Verb Metaphor Detection via Contextual Relation Learning. ACL/IJCNLP (1) 2021: 4240-4251 - [c261]Qingfu Zhu, Wei-Nan Zhang, Ting Liu, William Yang Wang:
Neural Stylistic Response Generation with Disentangled Latent Variables. ACL/IJCNLP (1) 2021: 4391-4401 - [c260]Weinan Zhang, Yue Zhang, Hanlin Tang, Zhengyu Zhao, Caihai Zhu, Ting Liu:
What Did You Refer to? Evaluating Co-References in Dialogue. ACL/IJCNLP (Findings) 2021: 5075-5084 - [c259]Li Du, Xiao Ding, Ting Liu, Bing Qin:
Learning Event Graph Knowledge for Abductive Reasoning. ACL/IJCNLP (1) 2021: 5181-5190 - [c258]Jiapeng Li, Mingda Li, Longxuan Ma, Weinan Zhang, Ting Liu:
Technical Report on Shared Task in DialDoc21. DialDoc@ACL-IJCNLP 2021: 52-56 - [c257]Wanxiang Che, Yunlong Feng, Libo Qin, Ting Liu:
N-LTP: An Open-source Neural Language Technology Platform for Chinese. EMNLP (Demos) 2021: 42-49 - [c256]Qi Shi, Yu Zhang, Qingyu Yin, Ting Liu:
Logic-level Evidence Retrieval and Graph-based Verification Network for Table-based Fact Verification. EMNLP (1) 2021: 175-184 - [c255]Bo Zheng, Li Dong, Shaohan Huang, Saksham Singhal, Wanxiang Che, Ting Liu, Xia Song, Furu Wei:
Allocating Large Vocabulary Capacity for Cross-Lingual Language Model Pre-Training. EMNLP (1) 2021: 3203-3215 - [c254]Jihao Shi, Xiao Ding, Li Du, Ting Liu, Bing Qin:
Neural Natural Logic Inference for Interpretable Question Answering. EMNLP (1) 2021: 3673-3684 - [c253]Dechuan Teng, Libo Qin, Wanxiang Che, Sendong Zhao, Ting Liu:
Injecting Word Information with Multi-Level Word Adapter for Chinese Spoken Language Understanding. ICASSP 2021: 8188-8192 - [c252]Libo Qin, Tailu Liu, Wanxiang Che, Bingbing Kang, Sendong Zhao, Ting Liu:
A Co-Interactive Transformer for Joint Slot Filling and Intent Detection. ICASSP 2021: 8193-8197 - [c251]Libo Qin, Tianbao Xie, Wanxiang Che, Ting Liu:
A Survey on Spoken Language Understanding: Recent Advances and New Frontiers. IJCAI 2021: 4577-4584 - [c250]Jiaqi Li, Ming Liu, Zihao Zheng, Heng Zhang, Bing Qin, Min-Yen Kan, Ting Liu:
DADgraph: A Discourse-aware Dialogue Graph Neural Network for Multiparty Dialogue Machine Reading Comprehension. IJCNN 2021: 1-8 - [c249]Ziqing Yang, Yiming Cui, Chenglei Si, Wanxiang Che, Ting Liu, Shijin Wang, Guoping Hu:
Adversarial Training for Machine Reading Comprehension with Virtual Embeddings. *SEM 2021: 308-313 - 2020
- [c248]Yiming Cui, Wanxiang Che, Wei-Nan Zhang, Ting Liu, Shijin Wang, Guoping Hu:
Discriminative Sentence Modeling for Story Ending Prediction. AAAI 2020: 7602-7609 - [c247]Xiaocheng Feng, Yawei Sun, Bing Qin, Heng Gong, Yibo Sun
, Wei Bi, Xiaojiang Liu, Ting Liu:
Learning to Select Bi-Aspect Information for Document-Scale Text Content Manipulation. AAAI 2020: 7716-7723 - [c246]Libo Qin, Wanxiang Che, Yangming Li, Minheng Ni
, Ting Liu:
DCR-Net: A Deep Co-Interactive Relation Network for Joint Dialog Act Recognition and Sentiment Classification. AAAI 2020: 8665-8672 - [c245]Xiaoming Shi, Haifeng Hu, Wanxiang Che, Zhongqian Sun, Ting Liu, Junzhou Huang:
Understanding Medical Conversations with Scattered Keyword Attention and Weak Supervision from Responses. AAAI 2020: 8838-8845 - [c244]Haoyu Song
, Wei-Nan Zhang, Jingwen Hu, Ting Liu:
Generating Persona Consistent Dialogues by Exploiting Natural Language Inference. AAAI 2020: 8878-8885 - [c243]Shaolei Wang, Wanxiang Che, Qi Liu, Pengda Qin, Ting Liu, William Yang Wang:
Multi-Task Self-Supervised Learning for Disfluency Detection. AAAI 2020: 9193-9200 - [c242]Ziqing Yang, Yiming Cui, Zhipeng Chen, Wanxiang Che, Ting Liu, Shijin Wang, Guoping Hu:
TextBrewer: An Open-Source Knowledge Distillation Toolkit for Natural Language Processing. ACL (demo) 2020: 9-16 - [c241]Yangming Li, Kaisheng Yao, Libo Qin, Wanxiang Che, Xiaolong Li, Ting Liu:
Slot-consistent NLG for Task-oriented Dialogue Systems with Iterative Rectification Network. ACL 2020: 97-106 - [c240]Zeming Liu
, Haifeng Wang, Zheng-Yu Niu, Hua Wu, Wanxiang Che, Ting Liu:
Towards Conversational Recommendation over Multi-Type Dialogs. ACL 2020: 1036-1049 - [c239]Wentao Ma, Yiming Cui, Ting Liu, Dong Wang, Shijin Wang, Guoping Hu:
Conversational Word Embedding for Retrieval-Based Dialog System. ACL 2020: 1375-1380 - [c238]Yutai Hou, Wanxiang Che, Yongkui Lai, Zhihan Zhou, Yijia Liu, Han Liu, Ting Liu:
Few-shot Slot Tagging with Collapsed Dependency Transfer and Label-enhanced Task-adaptive Projection Network. ACL 2020: 1381-1393 - [c237]Jun Xu, Haifeng Wang, Zheng-Yu Niu, Hua Wu, Wanxiang Che, Ting Liu:
Conversational Graph Grounded Policy Learning for Open-Domain Conversation Generation. ACL 2020: 1835-1845 - [c236]Xinwei Geng, Longyue Wang, Xing Wang, Bing Qin, Ting Liu, Zhaopeng Tu:
How Does Selective Mechanism Improve Self-Attention Networks? ACL 2020: 2986-2995 - [c235]Haoyu Song
, Yan Wang, Weinan Zhang, Xiaojiang Liu, Ting Liu:
Generate, Delete and Rewrite: A Three-Stage Framework for Improving Persona Consistency of Dialogue Generation. ACL 2020: 5821-5831 - [c234]Libo Qin, Xiao Xu
, Wanxiang Che, Yue Zhang, Ting Liu:
Dynamic Fusion Network for Multi-Domain End-to-end Task-Oriented Dialog. ACL 2020: 6344-6354 - [c233]Bo Zheng, Haoyang Wen, Yaobo Liang, Nan Duan, Wanxiang Che, Daxin Jiang, Ming Zhou, Ting Liu:
Document Modeling with Graph Attention Networks for Multi-grained Machine Reading Comprehension. ACL 2020: 6708-6718 - [c232]Tianwen Jiang, Ning Zhang, Ming Liu, Meng Jiang, Ting Liu, Bing Qin:
Use of "Internal Knowledge": Biomedical Literature Search Liberated From External Resources. BIBM 2020: 275-280 - [c231]Wentao Ma, Yiming Cui, Chenglei Si, Ting Liu, Shijin Wang, Guoping Hu:
CharBERT: Character-aware Pre-trained Language Model. COLING 2020: 39-50 - [c230]Heng Gong, Yawei Sun, Xiaocheng Feng, Bing Qin, Wei Bi, Xiaojiang Liu, Ting Liu:
TableGPT: Few-shot Table-to-Text Generation with Table Structure Reconstruction and Content Matching. COLING 2020: 1978-1988 - [c229]Jiaqi Li, Ming Liu, Min-Yen Kan, Zihao Zheng, Zekun Wang, Wenqiang Lei, Ting Liu, Bing Qin:
Molweni: A Challenge Multiparty Dialogues-based Machine Reading Comprehension Dataset with Discourse Structure. COLING 2020: 2642-2652 - [c228]Qi Shi, Yu Zhang, Qingyu Yin, Ting Liu:
Learn to Combine Linguistic and Symbolic Information for Table-based Fact Verification. COLING 2020: 5335-5346 - [c227]Yiming Cui, Ting Liu, Ziqing Yang, Zhipeng Chen, Wentao Ma, Wanxiang Che, Shijin Wang, Guoping Hu:
A Sentence Cloze Dataset for Chinese Machine Reading Comprehension. COLING 2020: 6717-6723 - [c226]Longxu Dou, Yunlong Feng, Yuqiu Ji, Wanxiang Che, Ting Liu:
HIT-SCIR at MRP 2020: Transition-based Parser and Iterative Inference Parser. CoNLL Shared Task 2020: 65-72 - [c225]Yiming Cui, Wanxiang Che, Ting Liu, Bing Qin, Shijin Wang, Guoping Hu:
Revisiting Pre-Trained Models for Chinese Natural Language Processing. EMNLP (Findings) 2020: 657-668 - [c224]Longxuan Ma, Wei-Nan Zhang, Runxin Sun, Ting Liu:
A Compare Aggregate Transformer for Understanding Document-grounded Dialogue. EMNLP (Findings) 2020: 1358-1367 - [c223]Zhangyin Feng, Daya Guo, Duyu Tang, Nan Duan, Xiaocheng Feng, Ming Gong, Linjun Shou, Bing Qin, Ting Liu, Daxin Jiang, Ming Zhou:
CodeBERT: A Pre-Trained Model for Programming and Natural Languages. EMNLP (Findings) 2020: 1536-1547 - [c222]Libo Qin, Xiao Xu
, Wanxiang Che, Ting Liu:
Towards Fine-Grained Transfer: An Adaptive Graph-Interactive Framework for Joint Multiple Intent Detection and Slot Filling. EMNLP (Findings) 2020: 1807-1816 - [c221]Shaolei Wang, Zhongyuan Wang, Wanxiang Che, Ting Liu:
Combining Self-Training and Self-Supervised Learning for Unsupervised Disfluency Detection. EMNLP (1) 2020: 1813-1822 - [c220]Wei Song, Ziyao Song, Ruiji Fu, Lizhen Liu, Miaomiao Cheng, Ting Liu:
Discourse Self-Attention for Discourse Element Identification in Argumentative Student Essays. EMNLP (1) 2020: 2820-2830 - [c219]Heng Gong, Wei Bi, Xiaocheng Feng, Bing Qin, Xiaojiang Liu, Ting Liu:
Enhancing Content Planning for Table-to-Text Generation with Data Understanding and Verification. EMNLP (Findings) 2020: 2905-2914 - [c218]Qingfu Zhu, Wei-Nan Zhang, Ting Liu, William Yang Wang:
Counterfactual Off-Policy Training for Neural Dialogue Generation. EMNLP (1) 2020: 3438-3448 - [c217]Haoyu Song
, Yan Wang, Wei-Nan Zhang, Zhengyu Zhao, Ting Liu, Xiaojiang Liu:
Profile Consistency Identification for Open-domain Dialogue Agents. EMNLP (1) 2020: 6651-6662 - [c216]Wei Song, Kai Zhang, Ruiji Fu, Lizhen Liu, Ting Liu, Miaomiao Cheng:
Multi-Stage Pre-training for Automated Chinese Essay Scoring. EMNLP (1) 2020: 6723-6733 - [c215]Nan Shao
, Yiming Cui, Ting Liu, Shijin Wang, Guoping Hu:
Is Graph Structure Necessary for Multi-hop Question Answering? EMNLP (1) 2020: 7187-7192 - [c214]Sanyuan Chen, Yutai Hou, Yiming Cui, Wanxiang Che, Ting Liu, Xiangzhan Yu:
Recall and Learn: Fine-tuning Deep Pretrained Language Models with Less Forgetting. EMNLP (1) 2020: 7870-7881 - [c213]Zhongyang Li, Xiao Ding, Ting Liu, J. Edward Hu, Benjamin Van Durme:
Guided Generation of Cause and Effect. IJCAI 2020: 3629-3636 - [c212]Xiao Ding, Dingkui Hao, Yuewei Zhang, Kuo Liao, Zhongyang Li, Bing Qin, Ting Liu:
HIT-SCIR at SemEval-2020 Task 5: Training Pre-trained Language Model with Pseudo-labeling Data for Counterfactuals Detection. SemEval@COLING 2020: 354-360 - [c211]Yuanxing Liu
, Zhaochun Ren, Wei-Nan Zhang, Wanxiang Che, Ting Liu, Dawei Yin:
Keywords Generation Improves E-Commerce Session-based Recommendation. WWW 2020: 1604-1614 - 2019
- [c210]Sendong Zhao, Ting Liu, Sicheng Zhao, Fei Wang:
A Neural Multi-Task Learning Framework to Jointly Model Medical Named Entity Recognition and Normalization. AAAI 2019: 817-824 - [c209]Maosheng Guo, Yu Zhang, Ting Liu:
Gaussian Transformer: A Lightweight Approach for Natural Language Inference. AAAI 2019: 6489-6496 - [c208]Weinan Zhang, Yue Zhang, Yuanxing Liu
, Donglin Di, Ting Liu:
A Neural Network Approach to Verb Phrase Ellipsis Resolution. AAAI 2019: 7468-7475 - [c207]Qingfu Zhu, Lei Cui, Weinan Zhang, Furu Wei, Ting Liu:
Retrieval-Enhanced Adversarial Training for Neural Response Generation. ACL (1) 2019: 3763-3773 - [c206]Haichao Zhu
, Li Dong, Furu Wei, Wenhui Wang, Bing Qin, Ting Liu:
Learning to Ask Unanswerable Questions for Machine Reading Comprehension. ACL (1) 2019: 4238-4248 - [c205]Tianwen Jiang, Zhihan Zhang, Tong Zhao, Bing Qin, Ting Liu, Nitesh V. Chawla
, Meng Jiang:
CTGA: Graph-based Biomedical Literature Search. BIBM 2019: 395-400 - [c204]Xingyi Duan, Baoxin Wang, Ziyue Wang, Wentao Ma, Yiming Cui
, Dayong Wu, Shijin Wang, Ting Liu, Tianxiang Huo, Zhen Hu, Heng Wang, Zhiyuan Liu
:
CJRC: A Reliable Human-Annotated Benchmark DataSet for Chinese Judicial Reading Comprehension. CCL 2019: 439-451 - [c203]Heng Gong, Xiaocheng Feng, Bing Qin, Ting Liu:
Table-to-Text Generation via Row-Aware Hierarchical Encoder. CCL 2019: 533-544 - [c202]Yutai Hou, Meng Fang, Wanxiang Che, Ting Liu:
A Corpus-Free State2Seq User Simulator for Task-Oriented Dialogue. CCL 2019: 689-702 - [c201]Wanxiang Che, Longxu Dou, Yang Xu, Yuxuan Wang, Yijia Liu, Ting Liu:
HIT-SCIR at MRP 2019: A Unified Pipeline for Meaning Representation Parsing via Efficient Training and Effective Encoding. CoNLL Shared Task 2019: 76-85 - [c200]Wentao Ma, Yiming Cui, Nan Shao
, Su He, Weinan Zhang, Ting Liu, Shijin Wang, Guoping Hu:
TripleNet: Triple Attention Network for Multi-Turn Response Selection in Retrieval-Based Chatbots. CoNLL 2019: 737-746 - [c199]Ziyue Wang, Baoxin Wang, Xingyi Duan, Dayong Wu, Shijin Wang, Guoping Hu, Ting Liu:
IFlyLegal: A Chinese Legal System for Consultation, Law Searching, and Document Analysis. EMNLP/IJCNLP (3) 2019: 97-102 - [c198]Libo Qin, Yijia Liu, Wanxiang Che, Haoyang Wen, Yangming Li, Ting Liu:
Entity-Consistent End-to-end Task-Oriented Dialogue System with KB Retriever. EMNLP/IJCNLP (1) 2019: 133-142 - [c197]Tianwen Jiang, Tong Zhao, Bing Qin, Ting Liu, Nitesh V. Chawla, Meng Jiang:
Multi-Input Multi-Output Sequence Labeling for Joint Extraction of Fact and Condition Tuples from Scientific Text. EMNLP/IJCNLP (1) 2019: 302-312 - [c196]Yiming Cui, Wanxiang Che, Ting Liu, Bing Qin, Shijin Wang, Guoping Hu:
Cross-Lingual Machine Reading Comprehension. EMNLP/IJCNLP (1) 2019: 1586-1595 - [c195]Libo Qin, Wanxiang Che, Yangming Li, Haoyang Wen, Ting Liu:
A Stack-Propagation Framework with Token-Level Intent Detection for Spoken Language Understanding. EMNLP/IJCNLP (1) 2019: 2078-2087 - [c194]Li Du, Xiao Ding, Ting Liu, Zhongyang Li:
Modeling Event Background for If-Then Commonsense Reasoning Using Context-aware Variational Autoencoder. EMNLP/IJCNLP (1) 2019: 2682-2691 - [c193]Heng Gong, Xiaocheng Feng, Bing Qin, Ting Liu:
Table-to-Text Generation with Effective Hierarchical Encoder on Three Dimensions (Row, Column and Time). EMNLP/IJCNLP (1) 2019: 3141-3150 - [c192]Xiao Ding, Kuo Liao, Ting Liu, Zhongyang Li, Junwen Duan:
Event Representation Learning Enhanced with External Commonsense Knowledge. EMNLP/IJCNLP (1) 2019: 4893-4902 - [c191]Yuxuan Wang, Wanxiang Che, Jiang Guo, Yijia Liu, Ting Liu:
Cross-Lingual BERT Transformation for Zero-Shot Dependency Parsing. EMNLP/IJCNLP (1) 2019: 5720-5726 - [c190]Yiming Cui, Ting Liu, Wanxiang Che, Li Xiao, Zhipeng Chen, Wentao Ma, Shijin Wang, Guoping Hu:
A Span-Extraction Dataset for Chinese Machine Reading Comprehension. EMNLP/IJCNLP (1) 2019: 5882-5888 - [c189]Zhongyang Li, Xiao Ding, Ting Liu:
Story Ending Prediction by Transferable BERT. IJCAI 2019: 1800-1806 - [c188]Haoyu Song
, Weinan Zhang, Yiming Cui
, Dong Wang, Ting Liu:
Exploiting Persona Information for Diverse Generation of Conversational Responses. IJCAI 2019: 5190-5196 - [c187]Dong Jing, Ting Liu:
Structural Influence Maximization in Social Networks. iThings/GreenCom/CPSCom/SmartData 2019: 1088-1095 - [c186]Tianwen Jiang, Tong Zhao, Bing Qin, Ting Liu, Nitesh V. Chawla
, Meng Jiang:
The Role of: A Novel Scientific Knowledge Graph Representation and Construction Model. KDD 2019: 1634-1642 - [c185]Yibo Sun
, Duyu Tang, Jingjing Xu, Nan Duan
, Xiaocheng Feng, Bing Qin, Ting Liu, Ming Zhou:
Knowledge-Aware Conversational Semantic Parsing over Web Tables. NLPCC (1) 2019: 827-839 - 2018
- [c184]Weinan Zhang, Lingzhi Li, Dongyan Cao, Ting Liu:
Exploring Implicit Feedback for Open Domain Conversation Generation. AAAI 2018: 547-554 - [c183]Yuxuan Wang, Wanxiang Che, Jiang Guo, Ting Liu:
A Neural Transition-Based Approach for Semantic Dependency Graph Parsing. AAAI 2018: 5561-5568 - [c182]Haichao Zhu
, Furu Wei, Bing Qin, Ting Liu:
Hierarchical Attention Flow for Multiple-Choice Reading Comprehension. AAAI 2018: 6077-6085 - [c181]Yibo Sun
, Duyu Tang, Nan Duan
, Jianshu Ji, Guihong Cao, Xiaocheng Feng, Bing Qin, Ting Liu, Ming Zhou:
Semantic Parsing with Syntax- and Table-Aware SQL Generation. ACL (1) 2018: 361-372 - [c180]Qingyu Yin, Yu Zhang, Weinan Zhang, Ting Liu, William Yang Wang:
Deep Reinforcement Learning for Chinese Zero Pronoun Resolution. ACL (1) 2018: 569-578 - [c179]Yijia Liu, Wanxiang Che, Huaipeng Zhao, Bing Qin, Ting Liu:
Distilling Knowledge for Search-based Structured Prediction. ACL (1) 2018: 1393-1402 - [c178]Ruiji Fu, Zhengqi Pei, Jiefu Gong, Wei Song, Dechuan Teng, Wanxiang Che, Shijin Wang, Guoping Hu, Ting Liu:
Chinese Grammatical Error Diagnosis using Statistical and Prior Knowledge driven Features with Probabilistic Ensemble Enhancement. NLP-TEA@ACL 2018: 52-59 - [c177]Sendong Zhao, Meng Jiang, Ming Liu, Bing Qin, Ting Liu:
CausalTriad: Toward Pseudo Causal Relation Discovery and Hypotheses Generation from Medical Text Data. BCB 2018: 184-193 - [c176]Yu Zhang, Le Qi, Linjie Wang, Linlin Yu, Ting Liu:
Beyond Pivot for Extracting Chinese Paraphrases. CCIR 2018: 132-144 - [c175]Wenbo Zhang, Xiao Ding, Ting Liu:
Learning Target-Dependent Sentence Representations for Chinese Event Detection. CCIR 2018: 251-262 - [c174]Qingfu Zhu, Weinan Zhang, Ting Liu:
Learning to Start for Sequence to Sequence Based Response Generation. CCIR 2018: 274-285 - [c173]Libo Qin, Yijia Liu, Wanxiang Che, Haoyang Wen, Ting Liu:
End-to-End Task-Oriented Dialogue System with Distantly Supervised Knowledge Base Retriever. CCL 2018: 238-249 - [c172]Qingyu Yin, Yu Zhang, Weinan Zhang, Ting Liu, William Yang Wang:
Zero Pronoun Resolution with Attention-based Neural Network. COLING 2018: 13-23 - [c171]Zhongyang Li, Xiao Ding, Ting Liu:
Generating Reasonable and Diversified Story Ending Using Sequence to Sequence Model with Adversarial Training. COLING 2018: 1033-1043 - [c170]Yutai Hou, Yijia Liu, Wanxiang Che, Ting Liu:
Sequence-to-Sequence Data Augmentation for Dialogue Language Understanding. COLING 2018: 1234-1245 - [c169]Weinan Zhang, Yiming Cui, Yifa Wang, Qingfu Zhu, Lingzhi Li, Lianqiang Zhou, Ting Liu:
Context-Sensitive Generation of Open-Domain Conversational Responses. COLING 2018: 2437-2447 - [c168]Junwen Duan, Yue Zhang, Xiao Ding, Ching-Yun Chang, Ting Liu:
Learning Target-Specific Representations of Financial News Documents For Cumulative Abnormal Return Prediction. COLING 2018: 2823-2833 - [c167]Haoyang Wen, Yijia Liu, Wanxiang Che, Libo Qin, Ting Liu:
Sequence-to-Sequence Learning for Task-oriented Dialogue with Dialogue State Representation. COLING 2018: 3781-3792 - [c166]Wanxiang Che, Yijia Liu, Yuxuan Wang, Bo Zheng, Ting Liu:
Towards Better UD Parsing: Deep Contextualized Word Embeddings, Ensemble, and Treebank Concatenation. CoNLL Shared Task (2) 2018: 55-64 - [c165]Xinwei Geng, Xiaocheng Feng, Bing Qin, Ting Liu:
Adaptive Multi-pass Decoder for Neural Machine Translation. EMNLP 2018: 523-532 - [c164]Lizhen Liu, Xiao Hu, Wei Song, Ruiji Fu, Ting Liu, Guoping Hu:
Neural Multitask Learning for Simile Recognition. EMNLP 2018: 1543-1553 - [c163]Yijia Liu, Wanxiang Che, Bo Zheng, Bing Qin, Ting Liu:
An AMR Aligner Tuned by Transition-based Parser. EMNLP 2018: 2422-2430 - [c162]Xiao Ding, Bibo Cai, Ting Liu, Qiankun Shi:
Domain Adaptation via Tree Kernel Based Maximum Mean Discrepancy for User Consumption Intention Identification. IJCAI 2018: 4026-4032 - [c161]Xiaocheng Feng, Xiachong Feng, Bing Qin, Zhangyin Feng, Ting Liu:
Improving Low Resource Named Entity Recognition using Cross-lingual Knowledge Transfer. IJCAI 2018: 4071-4077 - [c160]Xiaocheng Feng, Ming Liu, Jiahao Liu, Bing Qin, Yibo Sun
, Ting Liu:
Topic-to-Essay Generation with Neural Networks. IJCAI 2018: 4078-4084 - [c159]Jizhou Huang
, Wei Zhang, Yaming Sun, Haifeng Wang
, Ting Liu:
Improving Entity Recommendation with Search Log and Multi-Task Learning. IJCAI 2018: 4107-4114 - [c158]Zhongyang Li, Xiao Ding, Ting Liu:
Constructing Narrative Event Evolutionary Graph for Script Event Prediction. IJCAI 2018: 4201-4207 - [c157]Shaolei Wang, Yue Zhang, Wanxiang Che, Ting Liu:
Joint Extraction of Entities and Relations Based on a Novel Graph Scheme. IJCAI 2018: 4461-4467 - [c156]Yiming Cui, Ting Liu, Zhipeng Chen, Wentao Ma, Shijin Wang, Guoping Hu:
Dataset for the First Evaluation on Chinese Machine Reading Comprehension. LREC 2018 - [c155]Junwen Duan, Xiao Ding, Ting Liu:
Learning Sentence Representations over Tree Structures for Target-Dependent Classification. NAACL-HLT 2018: 551-560 - 2017
- [c154]Weinan Zhang, Ting Liu, Bing Qin, Yu Zhang, Wanxiang Che, Yanyan Zhao, Xiao Ding:
Benben: A Chinese Intelligent Conversational Robot. ACL (System Demonstrations) 2017: 13-18 - [c153]Ting Liu, Yiming Cui
, Qingyu Yin, Weinan Zhang, Shijin Wang, Guoping Hu:
Generating and Exploiting Large-scale Pseudo Training Data for Zero Pronoun Resolution. ACL (1) 2017: 102-111 - [c152]Wei Song, Dong Wang, Ruiji Fu, Lizhen Liu, Ting Liu, Guoping Hu:
Discourse Mode Identification in Essays. ACL (1) 2017: 112-122 - [c151]Yiming Cui
, Zhipeng Chen, Si Wei, Shijin Wang, Ting Liu, Guoping Hu:
Attention-over-Attention Neural Networks for Reading Comprehension. ACL (1) 2017: 593-602 - [c150]Tianwen Jiang, Ming Liu, Bing Qin, Ting Liu:
Constructing Semantic Hierarchies via Fusion Learning Architecture. CCIR 2017: 136-148 - [c149]Bo Zheng, Wanxiang Che, Jiang Guo, Ting Liu:
Enhancing LSTM-based Word Segmentation Using Unlabeled Data. CCL 2017: 60-70 - [c148]Maosheng Guo
, Yu Zhang, Dezhi Zhao, Ting Liu:
Generating Textual Entailment Using Residual LSTMs. CCL 2017: 263-272 - [c147]Wanxiang Che, Jiang Guo, Yuxuan Wang, Bo Zheng, Huaipeng Zhao, Yang Liu, Dechuan Teng, Ting Liu:
The HIT-SCIR System for End-to-End Parsing of Universal Dependencies. CoNLL Shared Task (2) 2017: 52-62 - [c146]Qingyu Yin, Yu Zhang, Weinan Zhang, Ting Liu:
Chinese Zero Pronoun Resolution with Deep Memory Network. EMNLP 2017: 1309-1318 - [c145]Shaolei Wang, Wanxiang Che, Yue Zhang, Meishan Zhang, Ting Liu:
Transition-Based Disfluency Detection using LSTMs. EMNLP 2017: 2785-2794 - [c144]Qingyu Yin, Weinan Zhang, Yu Zhang, Ting Liu:
A Deep Neural Network for Chinese Zero Pronoun Resolution. IJCAI 2017: 3322-3328 - [c143]Stan Zhao, Meng Jiang, Quan Yuan, Bing Qin, Ting Liu, ChengXiang Zhai:
ContextCare: Incorporating Contextual Information Networks to Representation Learning on Medical Forum Data. IJCAI 2017: 3497-3503 - [c142]Xiaocheng Feng, Jiang Guo, Bing Qin, Ting Liu, Yongjie Liu:
Effective Deep Memory Networks for Distant Supervised Relation Extraction. IJCAI 2017: 4002-4008 - [c141]Jianhua Yuan
, Huaipeng Zhao, Yanyan Zhao
, Dawei Cong, Bing Qin, Ting Liu:
Babbling - The HIT-SCIR System for Emotional Conversation Generation. NLPCC 2017: 632-641 - [c140]Le Qi, Yu Zhang, Ting Liu:
SCIR-QA at SemEval-2017 Task 3: CNN Model Based on Similar and Dissimilar Information between Keywords for Question Similarity. SemEval@ACL 2017: 305-309 - [c139]Zhongyang Li, Sendong Zhao, Xiao Ding, Ting Liu:
EEG: Knowledge Base for Event Evolutionary Principles and Patterns. SMP 2017: 40-52 - [c138]Jianhua Yuan
, Yanyan Zhao
, Bing Qin, Ting Liu:
Local Contexts Are Effective for Neural Aspect Extraction. SMP 2017: 244-255 - [c137]Sendong Zhao, Quan Wang, Sean Massung, Bing Qin, Ting Liu, Bin Wang, ChengXiang Zhai:
Constructing and Embedding Abstract Event Causality Networks from Text Snippets. WSDM 2017: 335-344 - 2016
- [c136]Jiang Guo, Wanxiang Che, David Yarowsky, Haifeng Wang, Ting Liu:
A Representation Learning Framework for Multi-Source Transfer Parsing. AAAI 2016: 2734-2740 - [c135]Xiaocheng Feng, Lifu Huang, Duyu Tang, Heng Ji, Bing Qin, Ting Liu:
A Language-Independent Neural Network for Event Detection. ACL (2) 2016 - [c134]Bo Zheng, Wanxiang Che, Jiang Guo, Ting Liu:
Chinese Grammatical Error Diagnosis with Long Short-Term Memory Networks. NLP-TEA@COLING 2016: 49-56 - [c133]Yuxuan Wang, Jiang Guo, Wanxiang Che, Ting Liu:
Transition-Based Chinese Semantic Dependency Graph Parsing. CCL 2016: 12-24 - [c132]Shaolei Wang, Wanxiang Che, Yijia Liu, Ting Liu:
Enhancing Neural Disfluency Detection with Hand-Crafted Features. CCL 2016: 336-347 - [c131]Jiang Guo, Wanxiang Che, Haifeng Wang, Ting Liu:
A Universal Framework for Inductive Transfer Parsing across Multi-typed Treebanks. COLING 2016: 12-22 - [c130]Shaolei Wang, Wanxiang Che, Ting Liu:
A Neural Attention Model for Disfluency Detection. COLING 2016: 278-287 - [c129]Wei Song, Tong Liu, Ruiji Fu, Lizhen Liu, Hanshi Wang, Ting Liu:
Learning to Identify Sentence Parallelism in Student Essays. COLING 2016: 794-803 - [c128]Jiang Guo, Wanxiang Che, Haifeng Wang, Ting Liu, Jun Xu:
A Unified Architecture for Semantic Role Labeling and Relation Classification. COLING 2016: 1264-1274 - [c127]Yiming Cui, Ting Liu, Zhipeng Chen, Shijin Wang, Guoping Hu:
Consensus Attention-based Neural Networks for Chinese Reading Comprehension. COLING 2016: 1777-1786 - [c126]Xiao Ding, Yue Zhang, Ting Liu, Junwen Duan:
Knowledge-Driven Event Embedding for Stock Prediction. COLING 2016: 2133-2142 - [c125]Wei Song, Ruiji Fu, Lizhen Liu, Hanshi Wang, Ting Liu:
Anecdote Recognition and Recommendation. COLING 2016: 2592-2602 - [c124]Xiaocheng Feng, Duyu Tang, Bing Qin, Ting Liu:
English-Chinese Knowledge Base Translation with Neural Network. COLING 2016: 2935-2944 - [c123]Yang Li, Ting Liu, Jing Jiang, Liang Zhang:
Hashtag Recommendation with Topical Attention-Based LSTM. COLING 2016: 3019-3029 - [c122]Duyu Tang, Bing Qin, Xiaocheng Feng, Ting Liu:
Effective LSTMs for Target-Dependent Sentiment Classification. COLING 2016: 3298-3307 - [c121]Duyu Tang, Bing Qin, Ting Liu:
Aspect Level Sentiment Classification with Deep Memory Network. EMNLP 2016: 214-224 - [c120]Lydia Lazib, Yanyan Zhao
, Bing Qin, Ting Liu:
Negation Scope Detection with Recurrent Neural Networks Models in Review Texts. ICYCSEE (1) 2016: 494-508 - [c119]Yijia Liu, Wanxiang Che, Jiang Guo, Bing Qin, Ting Liu:
Exploring Segment Representations for Neural Segmentation Models. IJCAI 2016: 2880-2886 - [c118]Yijia Liu, Wanxiang Che, Bing Qin, Ting Liu:
HC-Search for Incremental Parsing. IJCAI 2016: 2887-2893 - [c117]Linjie Wang, Yu Zhang, Ting Liu:
A Deep Learning Approach for Question Answering Over Knowledge Base. NLPCC/ICCPOL 2016: 885-892 - [c116]Wanxiang Che, Yanqiu Shao, Ting Liu, Yu Ding:
SemEval-2016 Task 9: Chinese Semantic Dependency Parsing. SemEval@NAACL-HLT 2016: 1074-1080 - [c115]Yanyan Zhao
, Shengqiu Li, Bing Qin, Ting Liu:
Encoding Dependency Representation with Convolutional Neural Network for Target-Polarity Word Collocation Extraction. SMP 2016: 42-53 - 2015
- [c114]Weinan Zhang, Zhaoyan Ming, Yu Zhang, Ting Liu, Tat-Seng Chua:
Exploring Key Concept Paraphrasing Based on Pivot Language Translation for Question Retrieval. AAAI 2015: 410-416 - [c113]Xiao Ding, Ting Liu, Junwen Duan, Jian-Yun Nie:
Mining User Consumption Intention from Social Media Using Domain Adaptive Convolutional Neural Network. AAAI 2015: 2389-2395 - [c112]Muyu Zhang, Bing Qin, Mao Zheng, Graeme Hirst, Ting Liu:
Encoding Distributional Semantics into Triple-Based Knowledge Ranking for Document Enrichment. ACL (1) 2015: 524-533 - [c111]Duyu Tang, Bing Qin, Ting Liu:
Learning Semantic Representations of Users and Products for Document Level Sentiment Classification. ACL (1) 2015: 1014-1023 - [c110]Jiang Guo, Wanxiang Che, David Yarowsky, Haifeng Wang
, Ting Liu:
Cross-lingual Dependency Parsing Based on Distributed Representations. ACL (1) 2015: 1234-1244 - [c109]Luyang Li, Wenjing Ren, Bing Qin, Ting Liu:
Learning Document Representation for Deceptive Opinion Spam Detection. CCL 2015: 393-404 - [c108]Duyu Tang, Bing Qin, Ting Liu:
Document Modeling with Gated Recurrent Neural Network for Sentiment Classification. EMNLP 2015: 1422-1432 - [c107]Wei Song, Ruiji Fu, Lizhen Liu, Ting Liu:
Discourse Element Identification in Student Essays based on Global and Local Cohesion. EMNLP 2015: 2255-2261 - [c106]Min Zhang, Ting Liu, Ailan Li:
Design and implementation of face recognition system based on Windows. ICDIP 2015: 96311E - [c105]Duyu Tang, Bing Qin, Ting Liu, Yuekui Yang:
User Modeling with Neural Network for Review Rating Prediction. IJCAI 2015: 1340-1346 - [c104]Xiao Ding, Yue Zhang, Ting Liu, Junwen Duan:
Deep Learning for Event-Driven Stock Prediction. IJCAI 2015: 2327-2333 - [c103]Muyu Zhang, Vanessa Wei Feng, Bing Qin, Graeme Hirst, Ting Liu, Jingwen Huang:
Encoding World Knowledge in the Evaluation of Local Coherence. HLT-NAACL 2015: 1087-1096 - [c102]Yanyan Zhao
, Bing Qin, Zhenjiang Dong, Hong Chen, Ting Liu:
What Causes Different Emotion Distributions of a Hot Event? A Deep Event-Emotion Analysis System on Microblogs. NLPCC 2015: 453-464 - [c101]Yang Li, Jing Jiang, Ting Liu, Xiaofei Sun:
Personalized Microtopic Recommendation with Rich Information. SMP 2015: 1-14 - [c100]Junwen Duan, Xiao Ding, Ting Liu:
A Gaussian Copula Regression Model for Movie Box-office Revenue Prediction with Social Media. SMP 2015: 28-37 - [c99]Luyang Li, Bing Qin, Ting Liu:
Generating Triples Based on Dependency Parsing for Contradiction Detection. SMP 2015: 200-208 - 2014
- [c98]Yue Zhang, Meishan Zhang, Ting Liu:
Syntactic Processing Using Global Discriminative Learning and Beam-Search Decoding. ACL (Tutorial Abstracts) 2014: 13-15 - [c97]Ruiji Fu, Jiang Guo, Bing Qin, Wanxiang Che, Haifeng Wang
, Ting Liu:
Learning Semantic Hierarchies via Word Embeddings. ACL (1) 2014: 1199-1209 - [c96]Meishan Zhang
, Yue Zhang, Wanxiang Che, Ting Liu:
Character-Level Chinese Dependency Parsing. ACL (1) 2014: 1326-1336 - [c95]Duyu Tang, Furu Wei, Nan Yang, Ming Zhou, Ting Liu, Bing Qin:
Learning Sentiment-Specific Word Embedding for Twitter Sentiment Classification. ACL (1) 2014: 1555-1565 - [c94]Meishan Zhang
, Yue Zhang, Wanxiang Che, Ting Liu:
A Semantics Oriented Grammar for Chinese Treebanking. CICLing (1) 2014: 366-378 - [c93]Yu Ding, Yanqiu Shao, Wanxiang Che, Ting Liu:
Dependency Graph Based Chinese Semantic Parsing. CCL 2014: 58-69 - [c92]Yanyan Zhao
, Bing Qin, Ting Liu:
Clustering Product Aspects Using Two Effective Aspect Relations for Opinion Mining. CCL 2014: 120-130 - [c91]Duyu Tang, Furu Wei, Bing Qin, Ming Zhou, Ting Liu:
Building Large-Scale Twitter-Specific Sentiment Lexicon : A Representation Learning Approach. COLING 2014: 172-182 - [c90]Jiang Guo, Wanxiang Che, Haifeng Wang, Ting Liu:
Learning Sense-specific Word Embeddings By Exploiting Bilingual Resources. COLING 2014: 497-507 - [c89]Meishan Zhang, Wanxiang Che, Yanqiu Shao, Ting Liu:
Jointly or Separately: Which is Better for Parsing Heterogeneous Dependencies? COLING 2014: 530-540 - [c88]Muyu Zhang, Bing Qin, Ting Liu, Mao Zheng:
Triple based Background Knowledge Ranking for Document Enrichment. COLING 2014: 917-927 - [c87]Yanyan Zhao, Wanxiang Che, Honglei Guo, Bing Qin, Zhong Su, Ting Liu:
Sentence Compression for Target-Polarity Word Collocation Extraction. COLING 2014: 1360-1369 - [c86]Meishan Zhang
, Yue Zhang, Wanxiang Che, Ting Liu:
Type-Supervised Domain Adaptation for Joint Segmentation and POS-Tagging. EACL 2014: 588-597 - [c85]Jiang Guo, Wanxiang Che, Haifeng Wang
, Ting Liu:
Revisiting Embedding Features for Simple Semi-supervised Learning. EMNLP 2014: 110-120 - [c84]Haiyang Wu, Daxiang Dong, Xiaoguang Hu, Dianhai Yu, Wei He, Hua Wu, Haifeng Wang
, Ting Liu:
Improve Statistical Machine Translation with Context-Sensitive Bilingual Semantic Embedding Model. EMNLP 2014: 142-146 - [c83]Zhongjun He, Hua Wu, Haifeng Wang
, Ting Liu:
Transformation from Discontinuous to Continuous Word Alignment Improves Translation Quality. EMNLP 2014: 147-152 - [c82]Duyu Tang, Furu Wei, Bing Qin, Li Dong, Ting Liu, Ming Zhou:
A Joint Segmentation and Classification Framework for Sentiment Analysis. EMNLP 2014: 477-487 - [c81]Yijia Liu, Yue Zhang, Wanxiang Che, Ting Liu, Fan Wu:
Domain Adaptation for CRF-based Chinese Word Segmentation using Free Annotations. EMNLP 2014: 864-874 - [c80]Xiao Ding, Yue Zhang, Ting Liu, Junwen Duan:
Using Structured Events to Predict Stock Price Movement: An Empirical Investigation. EMNLP 2014: 1415-1425 - [c79]Yanyan Zhao
, Bing Qin, Ting Liu:
Aspect-Object Alignment Using Integer Linear Programming. NLPCC 2014: 193-204 - [c78]Duyu Tang, Furu Wei, Bing Qin, Ting Liu, Ming Zhou:
Coooolll: A Deep Learning System for Twitter Sentiment Classification. SemEval@COLING 2014: 208-212 - [c77]Junwen Duan, Xiao Ding, Ting Liu:
Mining Intention-Related Products on Online Q&A Community. SMP 2014: 13-24 - [c76]Yang Li, Yiheng Chen, Ting Liu, Wenchao Deng:
Predicting the Popularity of Messages on Micro-blog Services. SMP 2014: 44-54 - [c75]Xiaofei Sun, Xiao Ding, Ting Liu:
Gender Identification on Social Media. SMP 2014: 99-107 - 2013
- [c74]Meishan Zhang, Yue Zhang, Wanxiang Che, Ting Liu:
Chinese Parsing Exploiting Characters. ACL (1) 2013: 125-134 - [c73]Yijia Liu, Wanxiang Che, Ting Liu:
Enhancing Chinese Word Segmentation with Character Clustering. CCL 2013: 52-60 - [c72]Xiao Ding, Zhicheng Dou, Bing Qin, Ting Liu, Ji-Rong Wen:
Improving Web Search Ranking by Incorporating Structured Annotation of Queries. EMNLP 2013: 468-478 - [c71]Yuhang Guo, Bing Qin, Ting Liu, Sheng Li:
Microblog Entity Linking by Leveraging Extra Posts. EMNLP 2013: 863-868 - [c70]Ruiji Fu, Bing Qin, Ting Liu:
Exploiting Multiple Sources for Open-Domain Hypernym Discovery. EMNLP 2013: 1224-1234 - [c69]Xiao Ding, Bing Qin, Ting Liu:
Building Chinese Event Type Paradigm Based on Trigger Clustering. IJCNLP 2013: 311-319 - [c68]Han Xue, Bing Qin, Ting Liu, Chao Xiang:
Topical Key Concept Extraction from Folksonomy. IJCNLP 2013: 480-488 - [c67]Wanxiang Che, Mengqiu Wang, Christopher D. Manning, Ting Liu:
Named Entity Recognition with Bilingual Constraints. HLT-NAACL 2013: 52-62 - [c66]Yuhang Guo
, Bing Qin, Yuqin Li, Ting Liu, Sheng Li:
Improving Candidate Generation for Entity Linking. NLDB 2013: 225-236 - [c65]Duyu Tang, Bing Qin, Ting Liu, Zhenghua Li:
Learning Sentence Representation for Emotion Classification on Microblogs. NLPCC 2013: 212-223 - 2012
- [c64]Wanxiang Che, Valentin I. Spitkovsky, Ting Liu:
A Comparison of Chinese Parsers for Stanford Dependencies. ACL (2) 2012: 11-16 - [c63]Zhenghua Li, Ting Liu, Wanxiang Che:
Exploiting Multiple Treebanks for Parsing with Quasi-synchronous Grammars. ACL (1) 2012: 675-684 - [c62]Wei He, Hua Wu, Haifeng Wang, Ting Liu:
Improve SMT Quality with Automatically Extracted Paraphrase Rules. ACL (1) 2012: 979-987 - [c61]Yijia Liu, Meishan Zhang, Wanxiang Che, Ting Liu, Deng Yihe:
Micro blogs Oriented Word Segmentation System. CIPS-SIGHAN 2012: 85-89 - [c60]Meishan Zhang, Wanxiang Che, Ting Liu:
Multiple TreeBanks Integration for Chinese Phrase Structure Grammar Parsing Using Bagging. CIPS-SIGHAN 2012: 168-173 - [c59]Zhenghua Li, Min Zhang, Wanxiang Che, Ting Liu:
A Separately Passive-Aggressive Training Algorithm for Joint POS Tagging and Dependency Parsing. COLING 2012: 1681-1698 - [c58]Meishan Zhang, Wanxiang Che, Ting Liu, Zhenghua Li:
Stacking Heterogeneous Joint Models of Chinese POS Tagging and Dependency Parsing. COLING 2012: 3071-3088 - [c57]Weinan Zhang, Zhaoyan Ming, Yu Zhang, Liqiang Nie, Ting Liu, Tat-Seng Chua:
The Use of Dependency Relation Graph to Enhance the Term Weighting in Question Retrieval. COLING 2012: 3105-3120 - [c56]Shiqi Zhao, Haifeng Wang, Ting Liu:
User Behaviors Lend a Helping Hand: Learning Paraphrase Query Patterns from Search Log Sessions. COLING 2012: 3137-3152 - [c55]Yanyan Zhao, Bing Qin, Ting Liu:
Collocation Polarity Disambiguation Using Web-based Pseudo Contexts. EMNLP-CoNLL 2012: 160-170 - [c54]Meishan Zhang
, Wanxiang Che, Yanqiu Shao, Ting Liu:
Improve Chinese Semantic Dependency Parsing via Syntactic Dependency Parsing. IALP 2012: 53-56 - [c53]Wanxiang Che, Meishan Zhang, Yanqiu Shao, Ting Liu:
SemEval-2012 Task 5: Chinese Semantic Dependency Parsing. SemEval@NAACL-HLT 2012: 378-384 - [c52]Wei Song, Qing Yu, Zhiheng Xu, Ting Liu, Sheng Li, Ji-Rong Wen:
Multi-aspect query summarization by composite query. SIGIR 2012: 325-334 - 2011
- [c51]Zhanyi Liu, Haifeng Wang, Hua Wu, Ting Liu, Sheng Li:
Reordering with Source Language Collocations. ACL 2011: 1036-1044 - [c50]Zhenghua Li, Min Zhang, Wanxiang Che, Ting Liu, Wenliang Chen, Haizhou Li:
Joint Models for Chinese POS Tagging and Dependency Parsing. EMNLP 2011: 1180-1191 - [c49]Ruiji Fu, Bing Qin, Ting Liu:
Generating Chinese Named Entity Data from a Parallel Corpus. IJCNLP 2011: 264-272 - [c48]Wei He, Shiqi Zhao, Haifeng Wang, Ting Liu:
Enriching SMT Training Data via Paraphrasing. IJCNLP 2011: 803-810 - [c47]Shiqi Zhao, Haifeng Wang, Chao Li, Ting Liu, Yi Guan:
Automatically Generating Questions from Queries for Community-based Question Answering. IJCNLP 2011: 929-937 - [c46]Yuhang Guo, Wanxiang Che, Ting Liu, Sheng Li:
A Graph-based Method for Entity Linking. IJCNLP 2011: 1010-1018 - [c45]Zhenghua Li, Wanxiang Che, Ting Liu:
Improving Chinese POS Tagging with Dependency Parsing. IJCNLP 2011: 1447-1451 - [c44]Wanxiang Che, Ting Liu:
Word Sense Disambiguation Corpora Acquisition via Confirmation Code. IJCNLP 2011: 1472-1476 - [c43]Wei Song, Yu Zhang, Handong Gao, Ting Liu, Sheng Li:
HITSCIR System in NTCIR-9 Subtopic Mining Task. NTCIR 2011 - [c42]Wei Song, Yu Zhang, Yubin Xie, Ting Liu, Sheng Li:
Query term ranking based on search results overlap. SIGIR 2011: 1253-1254 - 2010
- [c41]Yuhang Guo
, Wanxiang Che, Ting Liu, Sheng Li:
Semi-supervised domain adaptation for WSD: Using a word-by-word model selection approach. IEEE ICCI 2010: 680-687 - [c40]Wanxiang Che, Zhenghua Li, Ting Liu:
LTP: A Chinese Language Technology Platform. COLING (Demos) 2010: 13-16 - [c39]Wanxiang Che, Ting Liu:
Jointly Modeling WSD and SRL with Markov Logic. COLING 2010: 161-169 - [c38]Wei Song, Yu Zhang, Ting Liu, Sheng Li:
Bridging Topic Modeling and Personalized Search. COLING (Posters) 2010: 1167-1175 - [c37]Shiqi Zhao, Haifeng Wang, Ting Liu:
Paraphrasing with Search Engine Query Logs. COLING 2010: 1317-1325 - [c36]Shiqi Zhao, Haifeng Wang, Xiang Lan, Ting Liu:
Leveraging Multiple MT Engines for Paraphrase Generation. COLING 2010: 1326-1334 - [c35]Zhenghua Li, Wanxiang Che, Ting Liu:
Improving Dependency Parsing Using Punctuation. IALP 2010: 53-56 - [c34]Wanxiang Che, Ting Liu:
Using word sense disambiguation for semantic role labeling. IUCS 2010: 167-174 - [c33]Wanxiang Che, Ting Liu, Yongqiang Li:
Improving Semantic Role Labeling with Word Sense. HLT-NAACL 2010: 246-249 - [c32]Yanyan Zhao, Bing Qin, Shen Hu, Ting Liu:
Generalizing Syntactic Structures for Product Attribute Candidate Extraction. HLT-NAACL 2010: 377-380 - [c31]Yuhang Guo, Wanxiang Che, Wei He, Ting Liu, Sheng Li:
HIT-CIR: An Unsupervised WSD System Based on Domain Most Frequent Sense Estimation. SemEval@ACL 2010: 407-410 - 2009
- [c30]Wei He, Haifeng Wang, Yuqing Guo, Ting Liu:
Dependency Based Chinese Sentence Realization. ACL/IJCNLP 2009: 809-816 - [c29]Shiqi Zhao, Xiang Lan, Ting Liu, Sheng Li:
Application-driven Statistical Paraphrase Generation. ACL/IJCNLP 2009: 834-842 - [c28]Wanxiang Che, Zhenghua Li, Yongqiang Li, Yuhang Guo, Bing Qin, Ting Liu:
Multilingual Dependency-based Syntactic and Semantic Parsing. CoNLL Shared Task 2009: 49-54 - 2008
- [c27]Shiqi Zhao, Haifeng Wang, Ting Liu, Sheng Li:
Pivot Approach for Extracting Paraphrase Patterns from Bilingual Corpora. ACL 2008: 780-788 - [c26]Xiaofeng Yang, Jian Su, Jun Lang, Chew Lim Tan, Ting Liu, Sheng Li:
An Entity-Mention Model for Coreference Resolution with Inductive Logic Programming. ACL 2008: 843-851 - [c25]Shiqi Zhao, Cheng Niu, Ming Zhou, Ting Liu, Sheng Li:
Combining Multiple Resources to Improve SMT-based Paraphrasing Model. ACL 2008: 1021-1029 - [c24]Wei Zheng, Yu Zhang, Yu Hong, Jili Fan, Ting Liu:
Topic Tracking Based on Keywords Dependency Profile. AIRS 2008: 129-140 - [c23]Wanxiang Che, Zhenghua Li, Yuxuan Hu, Yongqiang Li, Bing Qin, Ting Liu, Sheng Li:
A Cascaded Syntactic and Semantic Dependency Parsing System. CoNLL 2008: 238-242 - [c22]Bing Qin, Yanyan Zhao, Leilei Gao, Ting Liu:
Recommended or Not? Give Advice on Online Products. FSKD (4) 2008: 208-212 - [c21]Wanxiang Che, Min Zhang, AiTi Aw, Chew Lim Tan, Ting Liu, Sheng Li:
Fast Computing Grammar-driven Convolution Tree Kernel for Semantic Role Labeling. IJCNLP 2008: 781-786 - 2007
- [c20]Min Zhang, Wanxiang Che, AiTi Aw, Chew Lim Tan, Guodong Zhou, Ting Liu, Sheng Li:
A Grammar-driven Convolution Tree Kernel for Semantic Role Classification. ACL 2007 - [c19]Shiqi Zhao, Ting Liu, Xincheng Yuan, Sheng Li, Yu Zhang:
Automatic Acquisition of Context-Specific Lexical Paraphrases. IJCAI 2007: 1789-1794 - [c18]Shiqi Zhao, Ming Zhou, Ting Liu:
Learning Question Paraphrases for QA from Encarta Logs. IJCAI 2007: 1795-1801 - [c17]Yuhang Guo, Wanxiang Che, Yuxuan Hu, Wei Zhang, Ting Liu:
HIT-IR-WSD: A WSD System for English Lexical Sample Task. SemEval@ACL 2007: 165-168 - [c16]Shiqi Zhao, Lin Zhao, Yu Zhang, Ting Liu, Sheng Li:
HIT: Web based Scoring Method for English Lexical Substitution. SemEval@ACL 2007: 173-176 - 2006
- [c15]Wanxiang Che, Min Zhang, Ting Liu, Sheng Li:
A Hybrid Convolution Tree Kernel for Semantic Role Labeling. ACL 2006 - [c14]Zhimao Lu, Haifeng Wang
, Jian-Min Yao, Ting Liu, Sheng Li:
An Equivalent Pseudoword Solution to Chinese Word Sense Disambiguation. ACL 2006 - [c13]Liqi Gao, Yu Zhang, Ting Liu, Guiping Liu:
Word Sense Language Model for Information Retrieval. AIRS 2006: 158-171 - [c12]Shiqi Zhao, Ting Liu, Xincheng Yuan, Sheng Li, Yu Zhang:
Web Mining for Lexical Context-Specific Paraphrasing. AIRS 2006: 673-679 - [c11]Ting Liu, Jinshan Ma, Huijia Zhu, Sheng Li:
Dependency Parsing Based on Dynamic Local Optimization. CoNLL 2006: 211-215 - 2005
- [c10]Yanqiu Shao, Zhuoran Wang, Jiqing Han, Ting Liu:
Modifying Spectral Envelope to Synthetically Adjust Voice Quality and Articulation Parameters for Emotional Speech Synthesis. ACII 2005: 334-341 - [c9]Weigang Li, Ting Liu, Yu Zhang, Sheng Li, Wei He:
Automated Generalization of Phrasal Paraphrases from the Web. IWP@IJCNLP 2005 - [c8]Huipeng Zhang, Ting Liu, Jinshan Ma, Xiantao Liao:
Chinese Word Segmentation with Multiple Postprocessors in HIT-IRLab. SIGHAN@IJCNLP 2005 2005 - [c7]Ting Liu, Wanxiang Che, Sheng Li, Yuxuan Hu, Huaijun Liu:
Semantic Role Labeling System Using Maximum Entropy Classifier. CoNLL 2005: 189-192 - [c6]Wanxiang Che, Jianmin Jiang, Zhong Su, Yue Pan, Ting Liu:
Improved-Edit-Distance Kernel for Chinese Relation Extraction. IJCNLP (companion) 2005 - 2004
- [c5]Wanxiang Che, Ting Liu, Sheng Li:
A New Chinese Natural Language Understanding Architecture Based on Multilayer Search Mechanism. SIGHAN@ACL 2004 - [c4]Weigang Li, Ting Liu, Zhen Wang, Sheng Li:
Aligning Bilingual Corpora Using Sentences Location Information. SIGHAN@ACL 2004 - [c3]Zhimao Lu, Ting Liu, Sheng Li:
Combining Neural Networks and Statistics for Chinese Word Sense Disambiguation. SIGHAN@ACL 2004 - [c2]Weigang Li, Ting Liu, Sheng Li:
Combining Sentence Length with Location Information to Align Monolingual Parallel Texts. AIRS 2004: 118-128 - 2000
- [c1]Ting Liu, Ming Zhou, Jianfeng Gao, Endong Xun, Changning Huang:
PENS: A Machine-aided English Writing System for Chinese Users. ACL 2000: 529-536
Editorship
- 2018
- [e2]Maosong Sun, Ting Liu, Xiaojie Wang, Zhiyuan Liu, Yang Liu:
Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data - 17th China National Conference, CCL 2018, and 6th International Symposium, NLP-NABD 2018, Changsha, China, October 19-21, 2018, Proceedings. Lecture Notes in Computer Science 11221, Springer 2018, ISBN 978-3-030-01715-6 [contents] - 2008
- [e1]Hang Li, Ting Liu, Wei-Ying Ma, Tetsuya Sakai, Kam-Fai Wong, Guodong Zhou:
Information Retrieval Technology, 4th Asia Infomation Retrieval Symposium, AIRS 2008, Harbin, China, January 15-18, 2008, Revised Selected Papers. Lecture Notes in Computer Science 4993, Springer 2008, ISBN 978-3-540-68633-0 [contents]
Informal and Other Publications
- 2024
- [i152]Yichong Huang, Xiaocheng Feng, Baohang Li, Chengpeng Fu, Wenshuai Huo, Ting Liu, Bing Qin:
Aligning Translation-Specific Understanding to General Understanding in Large Language Models. CoRR abs/2401.05072 (2024) - [i151]Haochun Wang, Sendong Zhao, Zewen Qiang, Nuwa Xi, Bing Qin, Ting Liu:
Beyond Direct Diagnosis: LLM-based Multi-Specialist Agent Consultation for Automatic Diagnosis. CoRR abs/2401.16107 (2024) - [i150]Haochun Wang, Sendong Zhao, Zewen Qiang, Bing Qin, Ting Liu:
Beyond the Answers: Reviewing the Rationality of Multiple Choice Question Answering for the Evaluation of Large Language Models. CoRR abs/2402.01349 (2024) - [i149]Qi Shi, Han Cui, Haofeng Wang, Qingfu Zhu, Wanxiang Che, Ting Liu:
Exploring Hybrid Question Answering via Program-based Prompting. CoRR abs/2402.10812 (2024) - [i148]Yang Zhao, Li Du, Xiao Ding, Kai Xiong, Zhouhao Sun, Jun Shi, Ting Liu, Bing Qin:
Deciphering the lmpact of Pretraining Data on Large Language Models through Machine Unlearning. CoRR abs/2402.11537 (2024) - [i147]Nuwa Xi, Yuhan Chen, Sendong Zhao, Haochun Wang, Bing Qin, Ting Liu:
AS-ES Learning: Towards Efficient CoT Learning in Small Models. CoRR abs/2403.01969 (2024) - [i146]Kai Xiong, Xiao Ding, Ting Liu, Bing Qin, Dongliang Xu, Qing Yang, Hongtao Liu, Yixin Cao:
Meaningful Learning: Advancing Abstract Reasoning in Large Language Models via Generic Fact Guidance. CoRR abs/2403.09085 (2024) - [i145]Yirong Zeng, Xiao Ding, Yi Zhao, Xiangyu Li, Jie Zhang, Chao Yao, Ting Liu, Bing Qin:
RU22Fact: Optimizing Evidence for Multilingual Explainable Fact-Checking on Russia-Ukraine Conflict. CoRR abs/2403.16662 (2024) - [i144]Zhouhao Sun, Xiao Ding, Li Du, Bibo Cai, Jinglong Gao, Ting Liu, Bing Qin:
Towards Generalizable and Faithful Logic Reasoning over Natural Language via Resolution Refutation. CoRR abs/2404.01677 (2024) - [i143]Yichong Huang, Xiaocheng Feng, Baohang Li, Yang Xiang, Hui Wang, Bing Qin, Ting Liu:
Enabling Ensemble Learning for Heterogeneous Large Language Models with Deep Parallel Collaboration. CoRR abs/2404.12715 (2024) - [i142]Chengpeng Fu, Xiaocheng Feng, Yichong Huang, Wenshuai Huo, Baohang Li, Hui Wang, Bin Qin, Ting Liu:
Relay Decoding: Concatenating Large Language Models for Machine Translation. CoRR abs/2405.02933 (2024) - [i141]Muzhen Cai, Sendong Zhao, Haochun Wang, Yanrui Du, Zewen Qiang, Bing Qin, Ting Liu:
MolFusion: Multimodal Fusion Learning for Molecular Representations via Multi-granularity Views. CoRR abs/2406.18020 (2024) - [i140]Jinglong Gao, Xiao Ding, Yiming Cui, Jianbai Zhao, Hepeng Wang, Ting Liu, Bing Qin:
Self-Evolving GPT: A Lifelong Autonomous Experiential Learner. CoRR abs/2407.08937 (2024) - 2023
- [i139]Haochun Wang, Chi Liu, Nuwa Xi, Zewen Qiang, Sendong Zhao, Bing Qin, Ting Liu:
HuaTuo: Tuning LLaMA Model with Chinese Medical Knowledge. CoRR abs/2304.06975 (2023) - [i138]Bo Sun, Baoxin Wang, Yixuan Wang, Wanxiang Che, Dayong Wu, Shijin Wang, Ting Liu:
CSED: A Chinese Semantic Error Diagnosis Corpus. CoRR abs/2305.05183 (2023) - [i137]Jinglong Gao, Xiao Ding, Bing Qin, Ting Liu:
Is ChatGPT a Good Causal Reasoner? A Comprehensive Evaluation. CoRR abs/2305.07375 (2023) - [i136]Tingting Wu, Xiao Ding, Minji Tang, Hao Zhang, Bing Qin, Ting Liu:
NoisywikiHow: A Benchmark for Learning with Real-world Noisy Labels in Natural Language Processing. CoRR abs/2305.10709 (2023) - [i135]Kai Xiong, Xiao Ding, Yixin Cao, Ting Liu, Bing Qin:
Examining the Inter-Consistency of Large Language Models: An In-depth Analysis via Debate. CoRR abs/2305.11595 (2023) - [i134]Longxuan Ma, Weinan Zhang, Shuhan Zhou, Churui Sun, Changxin Ke, Ting Liu:
I run as fast as a rabbit, can you? A Multilingual Simile Dialogue Dataset. CoRR abs/2306.05672 (2023) - [i133]Nuwa Xi, Sendong Zhao, Haochun Wang, Chi Liu, Bing Qin, Ting Liu:
UniCoRN: Unified Cognitive Signal ReconstructioN bridging cognitive signals and human language. CoRR abs/2307.05355 (2023) - [i132]Ziyu Zhuang, Qiguang Chen, Longxuan Ma, Mingda Li, Yi Han, Yushan Qian, Haopeng Bai, Zixian Feng, Weinan Zhang, Ting Liu:
Through the Lens of Core Competency: Survey on Evaluation of Large Language Models. CoRR abs/2308.07902 (2023) - [i131]Haochun Wang, Sendong Zhao, Chi Liu, Nuwa Xi, Muzhen Cai, Bing Qin, Ting Liu:
Manifold-based Verbalizer Space Re-embedding for Tuning-free Prompt-based Classification. CoRR abs/2309.04174 (2023) - [i130]Haochun Wang, Sendong Zhao, Zewen Qiang, Zijian Li, Nuwa Xi, Yanrui Du, Muzhen Cai, Haoqiang Guo, Yuhan Chen, Haoming Xu, Bing Qin, Ting Liu:
Knowledge-tuning Large Language Models with Structured Medical Knowledge Bases for Reliable Response Generation in Chinese. CoRR abs/2309.04175 (2023) - [i129]Zheng Chu, Jingchang Chen, Qianglong Chen, Weijiang Yu, Tao He, Haotian Wang, Weihua Peng, Ming Liu, Bing Qin, Ting Liu:
A Survey of Chain of Thought Reasoning: Advances, Frontiers and Future. CoRR abs/2309.15402 (2023) - [i128]Yushan Qian, Wei-Nan Zhang, Ting Liu:
Harnessing the Power of Large Language Models for Empathetic Response Generation: Empirical Investigations and Improvements. CoRR abs/2310.05140 (2023) - [i127]Lei Huang, Weijiang Yu, Weitao Ma, Weihong Zhong, Zhangyin Feng, Haotian Wang, Qianglong Chen, Weihua Peng, Xiaocheng Feng, Bing Qin, Ting Liu:
A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions. CoRR abs/2311.05232 (2023) - [i126]Zhangyin Feng, Weitao Ma, Weijiang Yu, Lei Huang, Haotian Wang, Qianglong Chen, Weihua Peng, Xiaocheng Feng, Bing Qin, Ting Liu:
Trends in Integration of Knowledge and Large Language Models: A Survey and Taxonomy of Methods, Benchmarks, and Applications. CoRR abs/2311.05876 (2023) - [i125]Liang Zhao, Xiaocheng Feng, Xiachong Feng, Bing Qin, Ting Liu:
Length Extrapolation of Transformers: A Survey from the Perspective of Position Encoding. CoRR abs/2312.17044 (2023) - 2022
- [i124]Yiming Cui, Ziqing Yang, Ting Liu:
PERT: Pre-training BERT with Permuted Language Model. CoRR abs/2203.06906 (2022) - [i123]Haoyu Song, Li Dong, Wei-Nan Zhang, Ting Liu, Furu Wei:
CLIP Models are Few-shot Learners: Empirical Studies on VQA and Visual Entailment. CoRR abs/2203.07190 (2022) - [i122]Bo Sun, Baoxin Wang, Wanxiang Che, Dayong Wu, Zhigang Chen, Ting Liu:
Improving Pre-trained Language Models with Syntactic Dependency Prediction Task for Chinese Semantic Error Recognition. CoRR abs/2204.07464 (2022) - [i121]Li Du, Xiao Ding, Kai Xiong
, Ting Liu, Bing Qin:
e-CARE: a New Dataset for Exploring Explainable Causal Reasoning. CoRR abs/2205.05849 (2022) - [i120]Li Du, Xiao Ding, Yue Zhang, Kai Xiong
, Ting Liu, Bing Qin:
A Graph Enhanced BERT Model for Event Prediction. CoRR abs/2205.10822 (2022) - [i119]Longxuan Ma, Ziyu Zhuang, Weinan Zhang, Mingda Li, Ting Liu:
SelF-Eval: Self-supervised Fine-grained Dialogue Evaluation. CoRR abs/2208.08094 (2022) - [i118]Tingting Wu, Xiao Ding, Hao Zhang, Jinglong Gao, Li Du, Bing Qin, Ting Liu:
DiscrimLoss: A Universal Loss for Hard Samples and Incorrect Samples Discrimination. CoRR abs/2208.09884 (2022) - [i117]Bowen Chen, Xiao Ding, Li Du, Bing Qin, Ting Liu:
Text Difficulty Study: Do machines behave the same as humans regarding text difficulty? CoRR abs/2208.14509 (2022) - [i116]Haochun Wang, Chi Liu, Nuwa Xi, Sendong Zhao, Meizhi Ju, Shiwei Zhang, Ziheng Zhang, Yefeng Zheng, Bing Qin, Ting Liu:
Prompt Combines Paraphrase: Teaching Pre-trained Models to Understand Rare Biomedical Words. CoRR abs/2209.06453 (2022) - [i115]Yiming Cui, Wanxiang Che, Shijin Wang, Ting Liu:
LERT: A Linguistically-motivated Pre-trained Language Model. CoRR abs/2211.05344 (2022) - 2021
- [i114]Nan Shao
, Yiming Cui, Ting Liu, Shijin Wang, Guoping Hu:
Memory Augmented Sequential Paragraph Retrieval for Multi-hop Question Answering. CoRR abs/2102.03741 (2021) - [i113]Libo Qin, Tianbao Xie, Wanxiang Che, Ting Liu:
A Survey on Spoken Language Understanding: Recent Advances and New Frontiers. CoRR abs/2103.03095 (2021) - [i112]Jianhua Yuan
, Yanyan Zhao, Bing Qin, Ting Liu:
Learning to Share by Masking the Non-shared for Multi-domain Sentiment Classification. CoRR abs/2104.08480 (2021) - [i111]Jiaqi Li, Ming Liu, Zihao Zheng, Heng Zhang, Bing Qin, Min-Yen Kan, Ting Liu:
DADgraph: A Discourse-aware Dialogue Graph Neural Network for Multiparty Dialogue Machine Reading Comprehension. CoRR abs/2104.12377 (2021) - [i110]Yiming Cui, Ting Liu, Wanxiang Che, Zhigang Chen, Shijin Wang:
ExpMRC: Explainability Evaluation for Machine Reading Comprehension. CoRR abs/2105.04126 (2021) - [i109]Xiachong Feng, Xiaocheng Feng, Libo Qin, Bing Qin, Ting Liu:
Language Model as an Annotator: Exploring DialoGPT for Dialogue Summarization. CoRR abs/2105.12544 (2021) - [i108]Libo Qin, Fuxuan Wei, Tianbao Xie, Xiao Xu, Wanxiang Che, Ting Liu:
GL-GIN: Fast and Accurate Non-Autoregressive Model for Joint Multiple Intent Detection and Slot Filling. CoRR abs/2106.01925 (2021) - [i107]Ziqing Yang, Yiming Cui, Chenglei Si, Wanxiang Che, Ting Liu, Shijin Wang, Guoping Hu:
Adversarial Training for Machine Reading Comprehension with Virtual Embeddings. CoRR abs/2106.04437 (2021) - [i106]Haoyu Song, Yan Wang, Kaiyan Zhang, Wei-Nan Zhang, Ting Liu:
BoB: BERT Over BERT for Training Persona-based Dialogue Models from Limited Personalized Data. CoRR abs/2106.06169 (2021) - [i105]Yutai Hou, Yongkui Lai, Cheng Chen, Wanxiang Che, Ting Liu:
Learning to Bridge Metric Spaces: Few-shot Joint Learning of Intent Detection and Slot Filling. CoRR abs/2106.07343 (2021) - [i104]Bo Zheng, Li Dong, Shaohan Huang, Wenhui Wang, Zewen Chi, Saksham Singhal, Wanxiang Che, Ting Liu, Xia Song, Furu Wei:
Consistency Regularization for Cross-Lingual Fine-Tuning. CoRR abs/2106.08226 (2021) - [i103]Zhongyang Li, Xiao Ding, Ting Liu, J. Edward Hu, Benjamin Van Durme:
Guided Generation of Cause and Effect. CoRR abs/2107.09846 (2021) - [i102]Zhongyang Li, Xiao Ding, Kuo Liao, Ting Liu, Bing Qin:
CausalBERT: Injecting Causal Knowledge Into Pre-trained Models with Minimal Supervision. CoRR abs/2107.09852 (2021) - [i101]Yiming Cui, Wei-Nan Zhang, Wanxiang Che, Ting Liu, Zhigang Chen:
Understanding Attention in Machine Reading Comprehension. CoRR abs/2108.11574 (2021) - [i100]Qi Shi, Yu Zhang, Qingyu Yin, Ting Liu:
Logic-level Evidence Retrieval and Graph-based Verification Network for Table-based Fact Verification. CoRR abs/2109.06480 (2021) - [i99]Bo Zheng, Li Dong, Shaohan Huang, Saksham Singhal, Wanxiang Che, Ting Liu, Xia Song, Furu Wei:
Allocating Large Vocabulary Capacity for Cross-lingual Language Model Pre-training. CoRR abs/2109.07306 (2021) - 2020
- [i98]Zhangyin Feng, Daya Guo, Duyu Tang, Nan Duan, Xiaocheng Feng, Ming Gong, Linjun Shou, Bing Qin, Ting Liu, Daxin Jiang, Ming Zhou:
CodeBERT: A Pre-Trained Model for Programming and Natural Languages. CoRR abs/2002.08155 (2020) - [i97]Xiaocheng Feng, Yawei Sun, Bing Qin, Heng Gong, Yibo Sun, Wei Bi, Xiaojiang Liu, Ting Liu:
Learning to Select Bi-Aspect Information for Document-Scale Text Content Manipulation. CoRR abs/2002.10210 (2020) - [i96]Ziqing Yang, Yiming Cui, Zhipeng Chen, Wanxiang Che, Ting Liu, Shijin Wang, Guoping Hu:
TextBrewer: An Open-Source Knowledge Distillation Toolkit for Natural Language Processing. CoRR abs/2002.12620 (2020) - [i95]Nan Shao, Yiming Cui, Ting Liu, Shijin Wang, Guoping Hu:
Is Graph Structure Necessary for Multi-hop Reasoning? CoRR abs/2004.03096 (2020) - [i94]Yiming Cui, Ting Liu, Ziqing Yang, Zhipeng Chen, Wentao Ma, Wanxiang Che, Shijin Wang, Guoping Hu:
A Sentence Cloze Dataset for Chinese Machine Reading Comprehension. CoRR abs/2004.03116 (2020) - [i93]Jiaqi Li, Ming Liu, Min-Yen Kan, Zihao Zheng, Zekun Wang, Wenqiang Lei, Ting Liu, Bing Qin:
Molweni: A Challenge Multiparty Dialogues-based Machine Reading Comprehension Dataset with Discourse Structure. CoRR abs/2004.05080 (2020) - [i92]Haoyu Song, Yan Wang, Wei-Nan Zhang, Xiaojiang Liu, Ting Liu:
Generate, Delete and Rewrite: A Three-Stage Framework for Improving Persona Consistency of Dialogue Generation. CoRR abs/2004.07672 (2020) - [i91]Libo Qin, Xiao Xu
, Wanxiang Che, Ting Liu:
TD-GIN: Token-level Dynamic Graph-Interactive Network for Joint Multiple Intent Detection and Slot Filling. CoRR abs/2004.10087 (2020) - [i90]Libo Qin, Xiao Xu, Wanxiang Che, Yue Zhang, Ting Liu:
Dynamic Fusion Network for Multi-Domain End-to-end Task-Oriented Dialog. CoRR abs/2004.11019 (2020) - [i89]Sanyuan Chen, Yutai Hou, Yiming Cui, Wanxiang Che, Ting Liu, Xiangzhan Yu:
Recall and Learn: Fine-tuning Deep Pretrained Language Models with Less Forgetting. CoRR abs/2004.12651 (2020) - [i88]Wentao Ma, Yiming Cui, Ting Liu, Dong Wang, Shijin Wang, Guoping Hu:
Conversational Word Embedding for Retrieval-Based Dialog System. CoRR abs/2004.13249 (2020) - [i87]Longxuan Ma, Wei-Nan Zhang, Mingda Li, Ting Liu:
A Survey of Document Grounded Dialogue Systems (DGDS). CoRR abs/2004.13818 (2020) - [i86]Yiming Cui, Wanxiang Che, Ting Liu, Bing Qin, Shijin Wang, Guoping Hu:
Revisiting Pre-Trained Models for Chinese Natural Language Processing. CoRR abs/2004.13922 (2020) - [i85]Chenglei Si, Ziqing Yang, Yiming Cui, Wentao Ma, Ting Liu, Shijin Wang:
Benchmarking Robustness of Machine Reading Comprehension Models. CoRR abs/2004.14004 (2020) - [i84]Qingfu Zhu, Weinan Zhang, Ting Liu, William Yang Wang:
Counterfactual Off-Policy Training for Neural Response Generation. CoRR abs/2004.14507 (2020) - [i83]Libo Qin, Minheng Ni, Yue Zhang, Wanxiang Che, Yangming Li, Ting Liu:
Multi-Domain Spoken Language Understanding Using Domain- and Task-Aware Parameterization. CoRR abs/2004.14871 (2020) - [i82]Xinwei Geng, Longyue Wang, Xing Wang, Bing Qin, Ting Liu, Zhaopeng Tu:
How Does Selective Mechanism Improve Self-Attention Networks? CoRR abs/2005.00979 (2020) - [i81]Zeming Liu
, Haifeng Wang, Zheng-Yu Niu, Hua Wu, Wanxiang Che, Ting Liu:
Towards Conversational Recommendation over Multi-Type Dialogs. CoRR abs/2005.03954 (2020) - [i80]Bo Zheng, Haoyang Wen, Yaobo Liang, Nan Duan, Wanxiang Che, Daxin Jiang, Ming Zhou, Ting Liu:
Document Modeling with Graph Attention Networks for Multi-grained Machine Reading Comprehension. CoRR abs/2005.05806 (2020) - [i79]Yutai Hou, Wanxiang Che, Yongkui Lai, Zhihan Zhou, Yijia Liu, Han Liu, Ting Liu:
Few-shot Slot Tagging with Collapsed Dependency Transfer and Label-enhanced Task-adaptive Projection Network. CoRR abs/2006.05702 (2020) - [i78]Tianwen Jiang, Tong Zhao, Bing Qin, Ting Liu, Nitesh V. Chawla, Meng Jiang:
Canonicalizing Open Knowledge Bases with Multi-Layered Meta-Graph Neural Network. CoRR abs/2006.09610 (2020) - [i77]Libo Qin, Wanxiang Che, Yangming Li, Minheng Ni, Ting Liu:
DCR-Net: A Deep Co-Interactive Relation Network for Joint Dialog Act Recognition and Sentiment Classification. CoRR abs/2008.06914 (2020) - [i76]Yutai Hou, Jiafeng Mao, Yongkui Lai, Cheng Chen, Wanxiang Che, Zhigang Chen, Ting Liu:
FewJoint: A Few-shot Learning Benchmark for Joint Language Understanding. CoRR abs/2009.08138 (2020) - [i75]Haoyu Song, Yan Wang, Wei-Nan Zhang, Zhengyu Zhao, Ting Liu, Xiaojiang Liu:
Profile Consistency Identification for Open-domain Dialogue Agents. CoRR abs/2009.09680 (2020) - [i74]Wanxiang Che, Yunlong Feng, Libo Qin, Ting Liu:
N-LTP: A Open-source Neural Chinese Language Technology Platform with Pretrained Models. CoRR abs/2009.11616 (2020) - [i73]Longxuan Ma, Weinan Zhang, Runxin Sun, Ting Liu:
A Compare Aggregate Transformer for Understanding Document-grounded Dialogue. CoRR abs/2010.00190 (2020) - [i72]Libo Qin, Tailu Liu, Wanxiang Che, Bingbing Kang, Sendong Zhao, Ting Liu:
A Co-Interactive Transformer for Joint Slot Filling and Intent Detection. CoRR abs/2010.03880 (2020) - [i71]Dechuang Teng, Libo Qin, Wanxiang Che, Sendong Zhao, Ting Liu:
Injecting Word Information with Multi-Level Word Adapter for Chinese Spoken Language Understanding. CoRR abs/2010.03903 (2020) - [i70]Yutai Hou, Yongkui Lai, Yushan Wu, Wanxiang Che, Ting Liu:
Few-shot Learning for Multi-label Intent Detection. CoRR abs/2010.05256 (2020) - [i69]Xiachong Feng, Xiaocheng Feng, Bing Qin, Ting Liu:
Incorporating Commonsense Knowledge into Abstractive Dialogue Summarization via Heterogeneous Graph Networks. CoRR abs/2010.10044 (2020) - [i68]Shaolei Wang, Zhongyuan Wang, Wanxiang Che, Ting Liu:
Combining Self-Training and Self-Supervised Learning for Unsupervised Disfluency Detection. CoRR abs/2010.15360 (2020) - [i67]Wentao Ma, Yiming Cui, Chenglei Si, Ting Liu, Shijin Wang, Guoping Hu:
CharBERT: Character-aware Pre-trained Language Model. CoRR abs/2011.01513 (2020) - [i66]Yiming Cui, Ting Liu, Shijin Wang, Guoping Hu:
Unsupervised Explanation Generation for Machine Reading Comprehension. CoRR abs/2011.06737 (2020) - [i65]Sendong Zhao, Bing Qin, Ting Liu, Fei Wang:
Biomedical Knowledge Graph Refinement with Embedding and Logic Rules. CoRR abs/2012.01031 (2020) - [i64]Xiachong Feng, Xiaocheng Feng, Bing Qin, Xinwei Geng, Ting Liu:
Dialogue Discourse-Aware Graph Convolutional Networks for Abstractive Meeting Summarization. CoRR abs/2012.03502 (2020) - [i63]Yutai Hou, Sanyuan Chen, Wanxiang Che, Cheng Chen, Ting Liu:
C2C-GenDA: Cluster-to-Cluster Generation for Data Augmentation of Slot Filling. CoRR abs/2012.07004 (2020) - [i62]Libo Qin, Zhouyang Li, Wanxiang Che, Minheng Ni, Ting Liu:
Co-GAT: A Co-Interactive Graph Attention Network for Joint Dialog Act Recognition and Sentiment Classification. CoRR abs/2012.13260 (2020) - [i61]Le Qi, Yu Zhang, Qingyu Yin, Ting Liu:
Multiple Structural Priors Guided Self Attention Network for Language Understanding. CoRR abs/2012.14642 (2020) - [i60]Jun Xu, Zeyang Lei, Haifeng Wang, Zheng-Yu Niu, Hua Wu, Wanxiang Che, Ting Liu:
Discovering Dialog Structure Graph for Open-Domain Dialog Generation. CoRR abs/2012.15543 (2020) - 2019
- [i59]Tianwen Jiang, Ming Liu, Bing Qin, Ting Liu:
Attribute Acquisition in Ontology based on Representation Learning of Hierarchical Classes and Attributes. CoRR abs/1903.03282 (2019) - [i58]Tianwen Jiang, Sendong Zhao, Jing Liu, Jin-Ge Yao, Ming Liu, Bing Qin, Ting Liu, Chin-Yew Lin:
Towards Time-Aware Distant Supervision for Relation Extraction. CoRR abs/1903.03289 (2019) - [i57]Zhongyang Li, Xiao Ding, Ting Liu:
Story Ending Prediction by Transferable BERT. CoRR abs/1905.07504 (2019) - [i56]Haoyu Song, Weinan Zhang, Yiming Cui, Dong Wang, Ting Liu:
Exploiting Persona Information for Diverse Generation of Conversational Responses. CoRR abs/1905.12188 (2019) - [i55]Haichao Zhu, Li Dong, Furu Wei, Wenhui Wang, Bing Qin, Ting Liu:
Learning to Ask Unanswerable Questions for Machine Reading Comprehension. CoRR abs/1906.06045 (2019) - [i54]Yiming Cui, Wanxiang Che, Ting Liu, Bing Qin, Ziqing Yang, Shijin Wang, Guoping Hu:
Pre-Training with Whole Word Masking for Chinese BERT. CoRR abs/1906.08101 (2019) - [i53]Yutai Hou, Zhihan Zhou, Yijia Liu, Ning Wang, Wanxiang Che, Han Liu, Ting Liu:
Few-Shot Sequence Labeling with Label Dependency Transfer. CoRR abs/1906.08711 (2019) - [i52]Tianwen Jiang, Tong Zhao, Bing Qin, Ting Liu, Nitesh V. Chawla, Meng Jiang:
Constructing Information-Lossless Biological Knowledge Graphs from Conditional Statements. CoRR abs/1907.00720 (2019) - [i51]Xiao Ding, Zhongyang Li, Ting Liu, Kuo Liao:
ELG: An Event Logic Graph. CoRR abs/1907.08015 (2019) - [i50]Shaolei Wang, Wanxiang Che, Qi Liu, Pengda Qin, Ting Liu, William Yang Wang:
Multi-Task Self-Supervised Learning for Disfluency Detection. CoRR abs/1908.05378 (2019) - [i49]Yiming Cui, Wanxiang Che, Ting Liu, Bing Qin, Shijin Wang, Guoping Hu:
Cross-Lingual Machine Reading Comprehension. CoRR abs/1909.00361 (2019) - [i48]Libo Qin, Wanxiang Che, Yangming Li, Haoyang Wen, Ting Liu:
A Stack-Propagation Framework with Token-Level Intent Detection for Spoken Language Understanding. CoRR abs/1909.02188 (2019) - [i47]Heng Gong, Xiaocheng Feng, Bing Qin, Ting Liu:
Table-to-Text Generation with Effective Hierarchical Encoder on Three Dimensions (Row, Column and Time). CoRR abs/1909.02304 (2019) - [i46]Yutai Hou, Meng Fang, Wanxiang Che, Ting Liu:
A Corpus-free State2Seq User Simulator for Task-oriented Dialogue. CoRR abs/1909.04448 (2019) - [i45]Xiao Ding, Kuo Liao, Ting Liu, Zhongyang Li, Junwen Duan:
Event Representation Learning Enhanced with External Commonsense Knowledge. CoRR abs/1909.05190 (2019) - [i44]Libo Qin, Yijia Liu, Wanxiang Che, Haoyang Wen, Yangming Li, Ting Liu:
Entity-Consistent End-to-end Task-Oriented Dialogue System with KB Retriever. CoRR abs/1909.06762 (2019) - [i43]Yuxuan Wang, Wanxiang Che, Jiang Guo, Yijia Liu, Ting Liu:
Cross-Lingual BERT Transformation for Zero-Shot Dependency Parsing. CoRR abs/1909.06775 (2019) - [i42]Li Du, Xiao Ding, Ting Liu, Zhongyang Li:
Modeling Event Background for If-Then Commonsense Reasoning Using Context-aware Variational Autoencoder. CoRR abs/1909.08824 (2019) - [i41]Wentao Ma, Yiming Cui, Nan Shao, Su He, Weinan Zhang, Ting Liu, Shijin Wang, Guoping Hu:
TripleNet: Triple Attention Network for Multi-Turn Response Selection in Retrieval-based Chatbots. CoRR abs/1909.10666 (2019) - [i40]Haichao Zhu
, Li Dong, Furu Wei, Bing Qin, Ting Liu:
Transforming Wikipedia into Augmented Data for Query-Focused Summarization. CoRR abs/1911.03324 (2019) - [i39]Jiaqi Li, Ming Liu, Bing Qin, Zihao Zheng, Ting Liu:
An Annotation Scheme of A Large-scale Multi-party Dialogues Dataset for Discourse Parsing and Machine Comprehension. CoRR abs/1911.03514 (2019) - [i38]Ziqing Yang, Yiming Cui, Wanxiang Che, Ting Liu, Shijin Wang, Guoping Hu:
Improving Machine Reading Comprehension via Adversarial Training. CoRR abs/1911.03614 (2019) - [i37]Haoyu Song, Wei-Nan Zhang, Jingwen Hu, Ting Liu:
Generating Persona Consistent Dialogues by Exploiting Natural Language Inference. CoRR abs/1911.05889 (2019) - [i36]Yiming Cui, Wei-Nan Zhang, Wanxiang Che, Ting Liu, Zhipeng Chen, Shijin Wang, Guoping Hu:
Contextual Recurrent Units for Cloze-style Reading Comprehension. CoRR abs/1911.05960 (2019) - [i35]Yiming Cui, Wanxiang Che, Wei-Nan Zhang, Ting Liu, Shijin Wang, Guoping Hu:
Discriminative Sentence Modeling for Story Ending Prediction. CoRR abs/1912.09008 (2019) - [i34]Xingyi Duan, Baoxin Wang, Ziyue Wang, Wentao Ma, Yiming Cui, Dayong Wu, Shijin Wang, Ting Liu, Tianxiang Huo, Zhen Hu, Heng Wang, Zhiyuan Liu:
CJRC: A Reliable Human-Annotated Benchmark DataSet for Chinese Judicial Reading Comprehension. CoRR abs/1912.09156 (2019) - 2018
- [i33]Zhipeng Chen, Yiming Cui, Wentao Ma, Shijin Wang, Ting Liu, Guoping Hu:
HFL-RC System at SemEval-2018 Task 11: Hybrid Multi-Aspects Model for Commonsense Reading Comprehension. CoRR abs/1803.05655 (2018) - [i32]Yibo Sun, Duyu Tang, Nan Duan, Jianshu Ji, Guihong Cao, Xiaocheng Feng, Bing Qin, Ting Liu, Ming Zhou:
Semantic Parsing with Syntax- and Table-Aware SQL Generation. CoRR abs/1804.08338 (2018) - [i31]Zhongyang Li, Xiao Ding, Ting Liu:
Constructing Narrative Event Evolutionary Graph for Script Event Prediction. CoRR abs/1805.05081 (2018) - [i30]Yijia Liu, Wanxiang Che, Huaipeng Zhao, Bing Qin, Ting Liu:
Distilling Knowledge for Search-based Structured Prediction. CoRR abs/1805.11224 (2018) - [i29]Qingyu Yin, Yu Zhang, Weinan Zhang, Ting Liu, William Yang Wang:
Deep Reinforcement Learning for Chinese Zero pronoun Resolution. CoRR abs/1806.03711 (2018) - [i28]Haoyang Wen, Yijia Liu, Wanxiang Che, Libo Qin, Ting Liu:
Sequence-to-Sequence Learning for Task-oriented Dialogue with Dialogue State Representation. CoRR abs/1806.04441 (2018) - [i27]Yutai Hou, Yijia Liu, Wanxiang Che, Ting Liu:
Sequence-to-Sequence Data Augmentation for Dialogue Language Understanding. CoRR abs/1807.01554 (2018) - [i26]Wanxiang Che, Yijia Liu, Yuxuan Wang, Bo Zheng, Ting Liu:
Towards Better UD Parsing: Deep Contextualized Word Embeddings, Ensemble, and Treebank Concatenation. CoRR abs/1807.03121 (2018) - [i25]Qingfu Zhu, Lei Cui, Weinan Zhang, Furu Wei, Yining Chen, Ting Liu:
Retrieval-Enhanced Adversarial Training for Neural Response Generation. CoRR abs/1809.04276 (2018) - [i24]Yijia Liu, Wanxiang Che, Bo Zheng, Bing Qin, Ting Liu:
An AMR Aligner Tuned by Transition-based Parser. CoRR abs/1810.03541 (2018) - [i23]Yiming Cui, Ting Liu, Li Xiao, Zhipeng Chen, Wentao Ma, Wanxiang Che, Shijin Wang, Guoping Hu:
A Span-Extraction Dataset for Chinese Machine Reading Comprehension. CoRR abs/1810.07366 (2018) - [i22]Sendong Zhao, Ting Liu, Sicheng Zhao, Fei Wang:
A Neural Multi-Task Learning Framework to Jointly Model Medical Named Entity Recognition and Normalization. CoRR abs/1812.06081 (2018) - [i21]Xinwei Geng, Longyue Wang, Xing Wang, Bing Qin, Ting Liu, Zhaopeng Tu:
Learning to Refine Source Representations for Neural Machine Translation. CoRR abs/1812.10230 (2018) - 2017
- [i20]Weinan Zhang, Ting Liu, Yifa Wang, Qingfu Zhu:
Neural Personalized Response Generation as Domain Adaptation. CoRR abs/1701.02073 (2017) - [i19]Yiming Cui, Ting Liu, Zhipeng Chen, Wentao Ma, Shijin Wang, Guoping Hu:
Dataset for the First Evaluation on Chinese Machine Reading Comprehension. CoRR abs/1709.08299 (2017) - [i18]Weinan Zhang, Zhigang Chen, Wanxiang Che, Guoping Hu, Ting Liu:
The First Evaluation of Chinese Human-Computer Dialogue Technology. CoRR abs/1709.10217 (2017) - 2016
- [i17]Yijia Liu, Wanxiang Che, Jiang Guo, Bing Qin, Ting Liu:
Exploring Segment Representations for Neural Segmentation Models. CoRR abs/1604.05499 (2016) - [i16]Weinan Zhang, Ting Liu, Qingyu Yin, Yu Zhang:
Neural Recovery Machine for Chinese Dropped Pronoun. CoRR abs/1605.02134 (2016) - [i15]Duyu Tang, Bing Qin, Ting Liu:
Aspect Level Sentiment Classification with Deep Memory Network. CoRR abs/1605.08900 (2016) - [i14]Jiang Guo, Wanxiang Che, Haifeng Wang, Ting Liu:
Exploiting Multi-typed Treebanks for Parsing with Deep Multi-task Learning. CoRR abs/1606.01161 (2016) - [i13]Ting Liu, Yiming Cui, Qingyu Yin, Shijin Wang, Weinan Zhang, Guoping Hu:
Generating and Exploiting Large-scale Pseudo Training Data for Zero Pronoun Resolution. CoRR abs/1606.01603 (2016) - [i12]Yiming Cui, Ting Liu, Zhipeng Chen, Shijin Wang, Guoping Hu:
Consensus Attention-based Neural Networks for Chinese Reading Comprehension. CoRR abs/1607.02250 (2016) - [i11]Yiming Cui, Zhipeng Chen, Si Wei, Shijin Wang, Ting Liu, Guoping Hu:
Attention-over-Attention Neural Networks for Reading Comprehension. CoRR abs/1607.04423 (2016) - [i10]Qingfu Zhu, Weinan Zhang, Lianqiang Zhou, Ting Liu:
Learning to Start for Sequence to Sequence Architecture. CoRR abs/1608.05554 (2016) - [i9]Xiaofei Sun, Jiang Guo, Xiao Ding, Ting Liu:
A General Framework for Content-enhanced Network Representation Learning. CoRR abs/1610.02906 (2016) - [i8]Luyang Li, Bing Qin, Wenjing Ren, Ting Liu:
Truth Discovery with Memory Network. CoRR abs/1611.01868 (2016) - 2015
- [i7]Duyu Tang, Bing Qin, Xiaocheng Feng, Ting Liu:
Target-Dependent Sentiment Classification with Long Short Term Memory. CoRR abs/1512.01100 (2015) - [i6]Duyu Tang, Bing Qin, Xinwei Geng, Dandan Ning, Jiahao Liu, Ting Liu:
A Planning based Framework for Essay Generation. CoRR abs/1512.05919 (2015) - 2014
- [i5]Duyu Tang, Bing Qin, Ting Liu, Qiuhui Shi:
Emotion Analysis Platform on Chinese Microblog. CoRR abs/1403.7335 (2014) - 2013
- [i4]Duyu Tang, Bing Qin, Lanjun Zhou, Kam-Fai Wong, Yanyan Zhao, Ting Liu:
Domain-Specific Sentiment Word Extraction by Seed Expansion and Pattern Generation. CoRR abs/1309.6722 (2013) - 2012
- [i3]Yuhang Guo, Bing Qin, Ting Liu, Sheng Li:
HIT Approaches to Entity Linking at TAC 2012. TAC 2012 - 2011
- [i2]Yuhang Guo, Guohua Tang, Wanxiang Che, Ting Liu, Sheng Li:
HIT Approaches to Entity Linking at TAC 2011. TAC 2011 - 2008
- [i1]Ruifang He, Yang Liu, Bing Qin, Ting Liu, Sheng Li:
HITIR's Update Summary at TAC 2008: Extractive Content Selection for Language Independence. TAC 2008
Coauthor Index
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