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2020 – today
- 2023
[c88]Jiong Cai, Shen Huang, Yong Jiang, Zeqi Tan, Pengjun Xie, Kewei Tu:
Graph Propagation based Data Augmentation for Named Entity Recognition. ACL (2) 2023: 110-118- [c87]Wei Liu, Songlin Yang, Kewei Tu:
Structured Mean-Field Variational Inference for Higher-Order Span-Based Semantic Role. ACL (Findings) 2023: 918-931 - [c86]Chao Lou, Kewei Tu:
Improving Grammar-based Sequence-to-Sequence Modeling with Decomposition and Constraints. ACL (2) 2023: 1918-1929 - [c85]Weiqi Wu, Chengyue Jiang, Yong Jiang, Pengjun Xie, Kewei Tu:
Do PLMs Know and Understand Ontological Knowledge? ACL (1) 2023: 3080-3101 - [c84]Haoyi Wu, Kewei Tu:
Probabilistic Transformer: A Probabilistic Dependency Model for Contextual Word Representation. ACL (Findings) 2023: 7613-7636 - [c83]Songlin Yang, Kewei Tu:
Don't Parse, Choose Spans! Continuous and Discontinuous Constituency Parsing via Autoregressive Span Selection. ACL (1) 2023: 8420-8433 - [c82]Chengyue Jiang, Wenyang Hui, Yong Jiang, Xiaobin Wang, Pengjun Xie, Kewei Tu:
Recall, Expand, and Multi-Candidate Cross-Encode: Fast and Accurate Ultra-Fine Entity Typing. ACL (1) 2023: 11597-11609 - [c81]Zixia Jia, Zhaohui Yan, Wenjuan Han, Zilong Zheng, Kewei Tu:
Modeling Instance Interactions for Joint Information Extraction with Neural High-Order Conditional Random Field. ACL (1) 2023: 13695-13710 - [c80]Chengyue Jiang, Yong Jiang, Weiqi Wu, Yuting Zheng, Pengjun Xie, Kewei Tu:
COMBO: A Complete Benchmark for Open KG Canonicalization. EACL 2023: 340-357 - [c79]Xiang Hu, Xinyu Kong, Kewei Tu:
A Multi-Grained Self-Interpretable Symbolic-Neural Model For Single/Multi-Labeled Text Classification. ICLR 2023 - [c78]Zeqi Tan, Shen Huang, Zixia Jia, Jiong Cai, Yinghui Li, Weiming Lu, Yueting Zhuang, Kewei Tu, Pengjun Xie, Fei Huang:
DAMO-NLP at SemEval-2023 Task 2: A Unified Retrieval-augmented System for Multilingual Named Entity Recognition. SemEval@ACL 2023: 2014-2028 - [i52]Chengyue Jiang, Yong Jiang, Weiqi Wu, Yuting Zheng, Pengjun Xie, Kewei Tu:
COMBO: A Complete Benchmark for Open KG Canonicalization. CoRR abs/2302.03905 (2023) - [i51]Xiang Hu, Xinyu Kong, Kewei Tu:
A Multi-Grained Self-Interpretable Symbolic-Neural Model For Single/Multi-Labeled Text Classification. CoRR abs/2303.02860 (2023) - [i50]Zeqi Tan, Shen Huang, Zixia Jia, Jiong Cai, Yinghui Li, Weiming Lu, Yueting Zhuang, Kewei Tu, Pengjun Xie, Fei Huang, Yong Jiang:
DAMO-NLP at SemEval-2023 Task 2: A Unified Retrieval-augmented System for Multilingual Named Entity Recognition. CoRR abs/2305.03688 (2023) - [i49]Chao Lou, Kewei Tu:
Improving Grammar-based Sequence-to-Sequence Modeling with Decomposition and Constraints. CoRR abs/2306.02671 (2023) - [i48]Jiong Cai, Yong Jiang, Yue Zhang, Chengyue Jiang, Ke Yu, Jianhui Ji, Rong Xiao, Haihong Tang, Tao Wang, Zhongqiang Huang, Pengjun Xie, Fei Huang, Kewei Tu:
Improving Text Matching in E-Commerce Search with A Rationalizable, Intervenable and Fast Entity-Based Relevance Model. CoRR abs/2307.00370 (2023) - [i47]Tianyu Yu, Chengyue Jiang, Chao Lou, Shen Huang, Xiaobin Wang, Wei Liu, Jiong Cai, Yangning Li, Yinghui Li, Kewei Tu, Hai-Tao Zheng, Ningyu Zhang, Pengjun Xie, Fei Huang, Yong Jiang:
SeqGPT: An Out-of-the-box Large Language Model for Open Domain Sequence Understanding. CoRR abs/2308.10529 (2023) - [i46]Weiqi Wu, Chengyue Jiang, Yong Jiang, Pengjun Xie, Kewei Tu:
Do PLMs Know and Understand Ontological Knowledge? CoRR abs/2309.05936 (2023) - 2022
- [c77]Zixia Jia, Zhaohui Yan, Haoyi Wu, Kewei Tu:
Span-Based Semantic Role Labeling with Argument Pruning and Second-Order Inference. AAAI 2022: 10822-10830 - [c76]Songlin Yang, Kewei Tu:
Combining (Second-Order) Graph-Based and Headed-Span-Based Projective Dependency Parsing. ACL (Findings) 2022: 1428-1434 - [c75]Songlin Yang, Kewei Tu:
Headed-Span-Based Projective Dependency Parsing. ACL (1) 2022: 2188-2200 - [c74]Songlin Yang, Kewei Tu:
Bottom-Up Constituency Parsing and Nested Named Entity Recognition with Pointer Networks. ACL (1) 2022: 2403-2416 - [c73]Chao Lou, Songlin Yang, Kewei Tu:
Nested Named Entity Recognition as Latent Lexicalized Constituency Parsing. ACL (1) 2022: 6183-6198 - [c72]Xinyu Wang, Jiong Cai, Yong Jiang, Pengjun Xie, Kewei Tu, Wei Lu:
Named Entity and Relation Extraction with Multi-Modal Retrieval. EMNLP (Findings) 2022: 5925-5936 - [c71]Songlin Yang, Kewei Tu:
Semantic Dependency Parsing with Edge GNNs. EMNLP (Findings) 2022: 6096-6102 - [c70]Chengyue Jiang, Yong Jiang, Weiqi Wu, Pengjun Xie, Kewei Tu:
Modeling Label Correlations for Ultra-Fine Entity Typing with Neural Pairwise Conditional Random Field. EMNLP 2022: 6836-6847 - [c69]Chao Lou, Wenjuan Han, Kewei Tu:
Spa: On the Sparsity of Virtual Adversarial Training for Dependency Parsing. AACL/IJCNLP (Findings) 2022: 11-21 - [c68]Zhaohui Yan, Zixia Jia, Kewei Tu:
An Empirical Study of Pipeline vs. Joint approaches to Entity and Relation Extraction. AACL/IJCNLP (2) 2022: 437-443 - [c67]Liwen Zhang, Zixia Jia, Wenjuan Han, Zilong Zheng, Kewei Tu:
SHARP: Search-Based Adversarial Attack for Structured Prediction. NAACL-HLT (Findings) 2022: 950-961 - [c66]Hao Zhou, Gongshen Liu, Kewei Tu:
Improving Constituent Representation with Hypertree Neural Networks. NAACL-HLT 2022: 1682-1692 - [c65]Xinyu Wang, Min Gui, Yong Jiang, Zixia Jia, Nguyen Bach, Tao Wang, Zhongqiang Huang, Kewei Tu:
ITA: Image-Text Alignments for Multi-Modal Named Entity Recognition. NAACL-HLT 2022: 3176-3189 - [c64]Songlin Yang, Wei Liu, Kewei Tu:
Dynamic Programming in Rank Space: Scaling Structured Inference with Low-Rank HMMs and PCFGs. NAACL-HLT 2022: 4797-4809 - [c63]Xinyu Wang, Yongliang Shen, Jiong Cai, Tao Wang, Xiaobin Wang, Pengjun Xie, Fei Huang, Weiming Lu, Yueting Zhuang, Kewei Tu, Wei Lu, Yong Jiang:
DAMO-NLP at SemEval-2022 Task 11: A Knowledge-based System for Multilingual Named Entity Recognition. SemEval@NAACL 2022: 1457-1468 - [i45]Xinyu Wang, Yongliang Shen, Jiong Cai, Tao Wang, Xiaobin Wang, Pengjun Xie, Fei Huang, Weiming Lu, Yueting Zhuang, Kewei Tu, Wei Lu, Yong Jiang:
DAMO-NLP at SemEval-2022 Task 11: A Knowledge-based System for Multilingual Named Entity Recognition. CoRR abs/2203.00545 (2022) - [i44]Chao Lou, Songlin Yang, Kewei Tu:
Nested Named Entity Recognition as Latent Lexicalized Constituency Parsing. CoRR abs/2203.04665 (2022) - [i43]Songlin Yang, Kewei Tu:
Modeling Label Correlations for Second-Order Semantic Dependency Parsing with Mean-Field Inference. CoRR abs/2204.03619 (2022) - [i42]Songlin Yang, Wei Liu, Kewei Tu:
Dynamic Programming in Rank Space: Scaling Structured Inference with Low-Rank HMMs and PCFGs. CoRR abs/2205.00484 (2022) - [i41]Chengyue Jiang, Yong Jiang, Weiqi Wu, Pengjun Xie, Kewei Tu:
Modeling Label Correlations for Ultra-Fine Entity Typing with Neural Pairwise Conditional Random Field. CoRR abs/2212.01581 (2022) - [i40]Xinyu Wang, Jiong Cai, Yong Jiang, Pengjun Xie, Kewei Tu, Wei Lu:
Named Entity and Relation Extraction with Multi-Modal Retrieval. CoRR abs/2212.01612 (2022) - [i39]Zixia Jia, Zhaohui Yan, Wenjuan Han, Zilong Zheng, Kewei Tu:
Joint Information Extraction with Cross-Task and Cross-Instance High-Order Modeling. CoRR abs/2212.08929 (2022) - [i38]Chengyue Jiang, Wenyang Hui, Yong Jiang, Xiaobin Wang, Pengjun Xie, Kewei Tu:
Recall, Expand and Multi-Candidate Cross-Encode: Fast and Accurate Ultra-Fine Entity Typing. CoRR abs/2212.09125 (2022) - 2021
- [c62]Xinyu Wang, Yong Jiang, Zhaohui Yan, Zixia Jia, Nguyen Bach, Tao Wang, Zhongqiang Huang, Fei Huang, Kewei Tu:
Structural Knowledge Distillation: Tractably Distilling Information for Structured Predictor. ACL/IJCNLP (1) 2021: 550-564 - [c61]Xinyu Wang, Yong Jiang, Nguyen Bach, Tao Wang, Zhongqiang Huang, Fei Huang, Kewei Tu:
Improving Named Entity Recognition by External Context Retrieving and Cooperative Learning. ACL/IJCNLP (1) 2021: 1800-1812 - [c60]Xinyu Wang, Yong Jiang, Nguyen Bach, Tao Wang, Zhongqiang Huang, Fei Huang, Kewei Tu:
Automated Concatenation of Embeddings for Structured Prediction. ACL/IJCNLP (1) 2021: 2643-2660 - [c59]Zechuan Hu, Yong Jiang, Nguyen Bach, Tao Wang, Zhongqiang Huang, Fei Huang, Kewei Tu:
Multi-View Cross-Lingual Structured Prediction with Minimum Supervision. ACL/IJCNLP (1) 2021: 2661-2674 - [c58]Songlin Yang, Yanpeng Zhao, Kewei Tu:
Neural Bi-Lexicalized PCFG Induction. ACL/IJCNLP (1) 2021: 2688-2699 - [c57]Zechuan Hu, Yong Jiang, Nguyen Bach, Tao Wang, Zhongqiang Huang, Fei Huang, Kewei Tu:
Risk Minimization for Zero-shot Sequence Labeling. ACL/IJCNLP (1) 2021: 4909-4920 - [c56]Yixian Liu, Liwen Zhang, Xinyu Zhang, Yong Jiang, Yue Zhang, Kewei Tu:
Generalized Supervised Attention for Text Generation. ACL/IJCNLP (Findings) 2021: 4991-5003 - [c55]Liwen Zhang, Ge Wang, Wenjuan Han, Kewei Tu:
Adapting Unsupervised Syntactic Parsing Methodology for Discourse Dependency Parsing. ACL/IJCNLP (1) 2021: 5782-5794 - [c54]Kewei Tu, Yong Jiang, Wenjuan Han, Yanpeng Zhao:
Unsupervised Natural Language Parsing (Introductory Tutorial). EACL (Tutorial Abstracts) 2021: 1-5 - [c53]Chengyue Jiang, Zijian Jin
, Kewei Tu:
Neuralizing Regular Expressions for Slot Filling. EMNLP (1) 2021: 9481-9498 - [c52]Songlin Yang, Yanpeng Zhao, Kewei Tu:
PCFGs Can Do Better: Inducing Probabilistic Context-Free Grammars with Many Symbols. NAACL-HLT 2021: 1487-1498 - [i37]Yixian Liu, Liwen Zhang, Wenjuan Han, Yue Zhang, Kewei Tu:
Constrained Text Generation with Global Guidance - Case Study on CommonGen. CoRR abs/2103.07170 (2021) - [i36]Songlin Yang, Yanpeng Zhao, Kewei Tu:
PCFGs Can Do Better: Inducing Probabilistic Context-Free Grammars with Many Symbols. CoRR abs/2104.13727 (2021) - [i35]Xinyu Wang, Yong Jiang, Nguyen Bach, Tao Wang, Zhongqiang Huang, Fei Huang, Kewei Tu:
Improving Named Entity Recognition by External Context Retrieving and Cooperative Learning. CoRR abs/2105.03654 (2021) - [i34]Songlin Yang, Yanpeng Zhao, Kewei Tu:
Neural Bi-Lexicalized PCFG Induction. CoRR abs/2105.15021 (2021) - [i33]Xinyu Wang, Zixia Jia, Yong Jiang, Kewei Tu:
Enhanced Universal Dependency Parsing with Automated Concatenation of Embeddings. CoRR abs/2107.02416 (2021) - [i32]Songlin Yang, Kewei Tu:
Headed Span-Based Projective Dependency Parsing. CoRR abs/2108.04750 (2021) - [i31]Songlin Yang, Kewei Tu:
Combining (second-order) graph-based and headed span-based projective dependency parsing. CoRR abs/2108.05838 (2021) - [i30]Songlin Yang, Kewei Tu:
Bottom-Up Constituency Parsing and Nested Named Entity Recognition with Pointer Networks. CoRR abs/2110.05419 (2021) - [i29]Xinyu Wang, Min Gui, Yong Jiang, Zixia Jia, Nguyen Bach, Tao Wang, Zhongqiang Huang, Fei Huang, Kewei Tu:
ITA: Image-Text Alignments for Multi-Modal Named Entity Recognition. CoRR abs/2112.06482 (2021) - 2020
- [j7]Ge Wang, Ziyuan Hu, Zechuan Hu, Kewei Tu:
An Empirical Study of Encoders and Decoders in Graph-Based Dependency Parsing. IEEE Access 8: 35770-35776 (2020) - [c51]Jun Li, Yifan Cao, Jiong Cai, Yong Jiang, Kewei Tu:
An Empirical Comparison of Unsupervised Constituency Parsing Methods. ACL 2020: 3278-3283 - [c50]Xinyu Wang, Yong Jiang, Nguyen Bach, Tao Wang, Fei Huang, Kewei Tu:
Structure-Level Knowledge Distillation For Multilingual Sequence Labeling. ACL 2020: 3317-3330 - [c49]Bo Pang, Erik Nijkamp, Wenjuan Han, Linqi Zhou, Yixian Liu, Kewei Tu:
Towards Holistic and Automatic Evaluation of Open-Domain Dialogue Generation. ACL 2020: 3619-3629 - [c48]Zixia Jia, Youmi Ma, Jiong Cai, Kewei Tu:
Semi-Supervised Semantic Dependency Parsing Using CRF Autoencoders. ACL 2020: 6795-6805 - [c47]Ge Wang, Kewei Tu:
Semi-Supervised Dependency Parsing with Arc-Factored Variational Autoencoding. COLING 2020: 2485-2496 - [c46]Wenjuan Han, Yong Jiang, Hwee Tou Ng, Kewei Tu:
A Survey of Unsupervised Dependency Parsing. COLING 2020: 2522-2533 - [c45]Ruyue Hong, Jiong Cai, Kewei Tu:
Deep Inside-outside Recursive Autoencoder with All-span Objective. COLING 2020: 3610-3615 - [c44]Songlin Yang, Yong Jiang, Wenjuan Han, Kewei Tu:
Second-Order Unsupervised Neural Dependency Parsing. COLING 2020: 3911-3924 - [c43]Zhao Li, Kewei Tu:
Unsupervised Cross-Lingual Adaptation of Dependency Parsers Using CRF Autoencoders. EMNLP (Findings) 2020: 2127-2133 - [c42]Wenjuan Han, Liwen Zhang, Yong Jiang, Kewei Tu:
Adversarial Attack and Defense of Structured Prediction Models. EMNLP (1) 2020: 2327-2338 - [c41]Chengyue Jiang, Zhonglin Nian, Kaihao Guo, Shanbo Chu, Yinggong Zhao, Libin Shen, Kewei Tu:
Learning Numeral Embedding. EMNLP (Findings) 2020: 2586-2599 - [c40]Zechuan Hu, Yong Jiang, Nguyen Bach, Tao Wang, Zhongqiang Huang, Fei Huang, Kewei Tu:
An Investigation of Potential Function Designs for Neural CRF. EMNLP (Findings) 2020: 2600-2609 - [c39]Chengyue Jiang, Yinggong Zhao, Shanbo Chu, Libin Shen, Kewei Tu:
Cold-Start and Interpretability: Turning Regular Expressions into Trainable Recurrent Neural Networks. EMNLP (1) 2020: 3193-3207 - [c38]Xinyu Wang, Yong Jiang, Nguyen Bach, Tao Wang, Zhongqiang Huang, Fei Huang, Kewei Tu:
More Embeddings, Better Sequence Labelers? EMNLP (Findings) 2020: 3992-4006 - [c37]Xinyu Wang, Yong Jiang, Nguyen Bach, Tao Wang, Zhongqiang Huang, Fei Huang, Kewei Tu:
AIN: Fast and Accurate Sequence Labeling with Approximate Inference Network. EMNLP (1) 2020: 6019-6026 - [c36]Xinyu Wang, Kewei Tu:
Second-Order Neural Dependency Parsing with Message Passing and End-to-End Training. AACL/IJCNLP 2020: 93-99 - [c35]Xinyu Wang, Yong Jiang, Kewei Tu:
Enhanced Universal Dependency Parsing with Second-Order Inference and Mixture of Training Data. IWPT 2020 2020: 215-220 - [i28]Chengyue Jiang, Zhonglin Nian, Kaihao Guo, Shanbo Chu, Yinggong Zhao, Libin Shen, Kewei Tu:
Learning Numeral Embeddings. CoRR abs/2001.00003 (2020) - [i27]Xinyu Wang, Yong Jiang, Nguyen Bach, Tao Wang, Fei Huang, Kewei Tu:
Structure-Level Knowledge Distillation For Multilingual Sequence Labeling. CoRR abs/2004.03846 (2020) - [i26]Xinyu Wang, Yixian Liu, Zixia Jia, Chengyue Jiang, Kewei Tu:
ShanghaiTech at MRP 2019: Sequence-to-Graph Transduction with Second-Order Edge Inference for Cross-Framework Meaning Representation Parsing. CoRR abs/2004.03849 (2020) - [i25]Xinyu Wang, Yong Jiang, Kewei Tu:
Enhanced Universal Dependency Parsing with Second-Order Inference and Mixture of Training Data. CoRR abs/2006.01414 (2020) - [i24]Xinyu Wang, Yong Jiang, Nguyen Bach, Tao Wang, Zhongqiang Huang, Fei Huang, Kewei Tu:
Fast and Accurate Sequence Labeling with Approximate Inference Network. CoRR abs/2009.08229 (2020) - [i23]Xinyu Wang, Yong Jiang, Nguyen Bach, Tao Wang, Zhongqiang Huang, Fei Huang, Kewei Tu:
More Embeddings, Better Sequence Labelers? CoRR abs/2009.08330 (2020) - [i22]Wenjuan Han, Yong Jiang, Hwee Tou Ng, Kewei Tu:
A Survey of Unsupervised Dependency Parsing. CoRR abs/2010.01535 (2020) - [i21]Wenjuan Han, Liwen Zhang, Yong Jiang, Kewei Tu:
Adversarial Attack and Defense of Structured Prediction Models. CoRR abs/2010.01610 (2020) - [i20]Xinyu Wang, Kewei Tu:
Second-Order Neural Dependency Parsing with Message Passing and End-to-End Training. CoRR abs/2010.05003 (2020) - [i19]Xinyu Wang, Yong Jiang, Nguyen Bach, Tao Wang, Zhongqiang Huang, Fei Huang, Kewei Tu:
Automated Concatenation of Embeddings for Structured Prediction. CoRR abs/2010.05006 (2020) - [i18]Xinyu Wang, Yong Jiang, Zhaohui Yan, Zixia Jia, Nguyen Bach, Tao Wang, Zhongqiang Huang, Fei Huang, Kewei Tu:
Structural Knowledge Distillation. CoRR abs/2010.05010 (2020) - [i17]Songlin Yang, Yong Jiang, Wenjuan Han, Kewei Tu:
Second-Order Unsupervised Neural Dependency Parsing. CoRR abs/2010.14720 (2020) - [i16]Yang Zhou, Yong Jiang, Zechuan Hu, Kewei Tu:
Neural Latent Dependency Model for Sequence Labeling. CoRR abs/2011.05009 (2020) - [i15]Zechuan Hu, Yong Jiang, Nguyen Bach, Tao Wang, Zhongqiang Huang, Fei Huang, Kewei Tu:
An Investigation of Potential Function Designs for Neural CRF. CoRR abs/2011.05604 (2020)
2010 – 2019
- 2019
- [j6]Yong Jiang, Yang Zhou, Kewei Tu:
Projective Latent Dependency Forest Models. IEEE Access 7: 12328-12338 (2019) - [j5]Wenjuan Han, Ge Wang, Kewei Tu:
Latent Variable Autoencoder. IEEE Access 7: 48514-48523 (2019) - [j4]Wenjuan Han, Yong Jiang, Kewei Tu:
Lexicalized Neural Unsupervised Dependency Parsing. Neurocomputing 349: 105-115 (2019) - [j3]Yong Jiang, Yang Zhou, Kewei Tu:
Learning and evaluation of latent dependency forest models. Neural Comput. Appl. 31(10): 6795-6805 (2019) - [c34]Yunzhe Yuan, Yong Jiang, Kewei Tu:
Bidirectional Transition-Based Dependency Parsing. AAAI 2019: 7434-7441 - [c33]Xinyu Wang, Jingxian Huang, Kewei Tu:
Second-Order Semantic Dependency Parsing with End-to-End Neural Networks. ACL (1) 2019: 4609-4618 - [c32]Liwen Zhang, Kewei Tu, Yue Zhang:
Latent Variable Sentiment Grammar. ACL (1) 2019: 4642-4651 - [c31]Wenjuan Han, Yong Jiang, Kewei Tu:
Enhancing Unsupervised Generative Dependency Parser with Contextual Information. ACL (1) 2019: 5315-5325 - [c30]Xinyu Wang, Yixian Liu, Zixia Jia, Chengyue Jiang, Kewei Tu:
ShanghaiTech at MRP 2019: Sequence-to-Graph Transduction with Second-Order Edge Inference for Cross-Framework Meaning Representation Parsing. CoNLL Shared Task 2019: 55-65 - [c29]Yong Jiang, Wenjuan Han, Kewei Tu:
A Regularization-based Framework for Bilingual Grammar Induction. EMNLP/IJCNLP (1) 2019: 1423-1428 - [c28]Wenjuan Han, Ge Wang, Yong Jiang, Kewei Tu:
Multilingual Grammar Induction with Continuous Language Identification. EMNLP/IJCNLP (1) 2019: 5727-5732 - [i14]Xinyu Wang, Jingxian Huang, Kewei Tu:
Second-Order Semantic Dependency Parsing with End-to-End Neural Networks. CoRR abs/1906.07880 (2019) - [i13]Liwen Zhang, Kewei Tu, Yue Zhang:
Latent Variable Sentiment Grammar. CoRR abs/1907.00218 (2019) - 2018
- [c27]Jun Mei, Yong Jiang, Kewei Tu:
Maximum A Posteriori Inference in Sum-Product Networks. AAAI 2018: 1923-1930 - [c26]Yanpeng Zhao, Liwen Zhang, Kewei Tu:
Gaussian Mixture Latent Vector Grammars. ACL (1) 2018: 1181-1189 - [c25]Lin Qiu, Hao Zhou, Yanru Qu, Weinan Zhang, Suoheng Li, Shu Rong, Dongyu Ru, Lihua Qian, Kewei Tu, Yong Yu:
QA4IE: A Question Answering Based Framework for Information Extraction. ISWC (1) 2018: 198-216 - [i12]Lin Qiu, Hao Zhou, Yanru Qu, Weinan Zhang, Suoheng Li, Shu Rong, Dongyu Ru, Lihua Qian, Kewei Tu, Yong Yu:
QA4IE: A Question Answering based Framework for Information Extraction. CoRR abs/1804.03396 (2018) - [i11]Yanpeng Zhao, Liwen Zhang, Kewei Tu:
Gaussian Mixture Latent Vector Grammars. CoRR abs/1805.04688 (2018) - [i10]Yanpeng Zhao, Wei Bi, Deng Cai, Xiaojiang Liu, Kewei Tu, Shuming Shi:
Language Style Transfer from Sentences with Arbitrary Unknown Styles. CoRR abs/1808.04071 (2018) - 2017
- [j2]Yanpeng Zhao, Yetian Chen, Kewei Tu, Jin Tian:
Learning Bayesian network structures under incremental construction curricula. Neurocomputing 258: 30-40 (2017) - [c24]Shanbo Chu, Yong Jiang, Kewei Tu:
Latent Dependency Forest Models. AAAI 2017: 3733-3739 - [c23]Jiong Cai, Yong Jiang, Kewei Tu:
CRF Autoencoder for Unsupervised Dependency Parsing. EMNLP 2017: 1638-1643 - [c22]Wenjuan Han, Yong Jiang, Kewei Tu:
Dependency Grammar Induction with Neural Lexicalization and Big Training Data. EMNLP 2017: 1683-1688 - [c21]Yong Jiang, Wenjuan Han, Kewei Tu:
Combining Generative and Discriminative Approaches to Unsupervised Dependency Parsing via Dual Decomposition. EMNLP 2017: 1689-1694 - [c20]Xiao Zhang, Yong Jiang, Hao Peng, Kewei Tu, Dan Goldwasser:
Semi-supervised Structured Prediction with Neural CRF Autoencoder. EMNLP 2017: 1701-1711