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ORCIDLidong Bing
邴立东
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- affiliation: Machine Intelligence Technology, DAMO Academy, Alibaba Group
- affiliation (former): Tencent AI Lab, Shenzhen, China
- affiliation (former): Carnegie Mellon University, Machine Learning Department, Pittsburgh, PA, USA
- affiliation (former): Chinese University of Hong Kong, Hong Kong
- unicode name: 邴立东
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2020 – today
- 2020
[j9]Tianshu Lyu, Lidong Bing, Zhao Zhang, Yan Zhang:
FOX: Fast Overlapping Community Detection Algorithm in Big Weighted Networks. ACM Trans. Soc. Comput. 3(3): 16:1-16:23 (2020)- [c77]Zihao Fu, Lidong Bing, Wai Lam:
Open Domain Event Text Generation. AAAI 2020: 7748-7755 - [c76]Juntao Li, Chang Liu, Jian Wang, Lidong Bing, Hongsong Li, Xiaozhong Liu, Dongyan Zhao, Rui Yan:
Cross-Lingual Low-Resource Set-to-Description Retrieval for Global E-Commerce. AAAI 2020: 8212-8219 - [c75]Haiyun Peng, Lu Xu, Lidong Bing, Fei Huang, Wei Lu, Luo Si:
Knowing What, How and Why: A Near Complete Solution for Aspect-Based Sentiment Analysis. AAAI 2020: 8600-8607 - [c74]Rongxiang Weng, Hao-Ran Wei, Shujian Huang, Heng Yu, Lidong Bing, Weihua Luo, Jiajun Chen:
GRET: Global Representation Enhanced Transformer. AAAI 2020: 9258-9265 - [c73]Qian Yu, Lidong Bing, Qiong Zhang, Wai Lam, Luo Si:
Review-based Question Generation with Adaptive Instance Transfer and Augmentation. ACL 2020: 280-290 - [c72]Canasai Kruengkrai, Thien Hai Nguyen, Sharifah Aljunied Mahani, Lidong Bing:
Improving Low-Resource Named Entity Recognition using Joint Sentence and Token Labeling. ACL 2020: 5898-5905 - [c71]Zihao Fu, Lidong Bing, Wai Lam, Shoaib Jameel:
Dynamic Topic Tracker for KB-to-Text Generation. COLING 2020: 2369-2380 - [c70]Liying Cheng, Dekun Wu, Lidong Bing, Yan Zhang, Zhanming Jie, Wei Lu, Luo Si:
ENT-DESC: Entity Description Generation by Exploring Knowledge Graph. EMNLP (1) 2020: 1187-1197 - [c69]Yan Zhang, Ruidan He, Zuozhu Liu, Kwan Hui Lim, Lidong Bing:
An Unsupervised Sentence Embedding Method by Mutual Information Maximization. EMNLP (1) 2020: 1601-1610 - [c68]Yan Zhang, Zhijiang Guo, Zhiyang Teng, Wei Lu, Shay B. Cohen, Zuozhu Liu, Lidong Bing:
Lightweight, Dynamic Graph Convolutional Networks for AMR-to-Text Generation. EMNLP (1) 2020: 2162-2172 - [c67]Lu Xu, Hao Li, Wei Lu, Lidong Bing:
Position-Aware Tagging for Aspect Sentiment Triplet Extraction. EMNLP (1) 2020: 2339-2349 - [c66]Lu Xu, Lidong Bing, Wei Lu, Fei Huang:
Aspect Sentiment Classification with Aspect-Specific Opinion Spans. EMNLP (1) 2020: 3561-3567 - [c65]Bosheng Ding, Linlin Liu, Lidong Bing, Canasai Kruengkrai, Thien Hai Nguyen, Shafiq R. Joty, Luo Si, Chunyan Miao:
DAGA: Data Augmentation with a Generation Approach forLow-resource Tagging Tasks. EMNLP (1) 2020: 6045-6057 - [c64]Liying Cheng, Lidong Bing, Qian Yu, Wei Lu, Luo Si:
APE: Argument Pair Extraction from Peer Review and Rebuttal via Multi-task Learning. EMNLP (1) 2020: 7000-7011 - [c63]Hai Ye, Qingyu Tan, Ruidan He, Juntao Li, Hwee Tou Ng, Lidong Bing:
Feature Adaptation of Pre-Trained Language Models across Languages and Domains with Robust Self-Training. EMNLP (1) 2020: 7386-7399 - [c62]Zihao Fu, Bei Shi, Wai Lam, Lidong Bing, Zhiyuan Liu:
Partially-Aligned Data-to-Text Generation with Distant Supervision. EMNLP (1) 2020: 9183-9193 - [c61]Juntao Li, Ruidan He, Hai Ye, Hwee Tou Ng, Lidong Bing, Rui Yan:
Unsupervised Domain Adaptation of a Pretrained Cross-Lingual Language Model. IJCAI 2020: 3672-3678 - [c60]Zihao Fu, Bei Shi, Lidong Bing, Wai Lam:
Unsupervised KB-to-Text Generation with Auxiliary Triple Extraction using Dual Learning. AACL/IJCNLP 2020: 258-268 - [i41]Rongxiang Weng, Hao-Ran Wei, Shujian Huang, Heng Yu, Lidong Bing, Weihua Luo, Jiajun Chen:
GRET: Global Representation Enhanced Transformer. CoRR abs/2002.10101 (2020) - [i40]Piji Li, Lidong Bing, Zhongyu Wei, Wai Lam:
Salience Estimation with Multi-Attention Learning for Abstractive Text Summarization. CoRR abs/2004.03589 (2020) - [i39]Liying Cheng, Yan Zhang, Dekun Wu, Zhanming Jie, Lidong Bing, Wei Lu, Luo Si:
Knowledge Graph Empowered Entity Description Generation. CoRR abs/2004.14813 (2020) - [i38]Juntao Li, Chang Liu, Jian Wang, Lidong Bing, Hongsong Li, Xiaozhong Liu, Dongyan Zhao, Rui Yan:
Cross-Lingual Low-Resource Set-to-Description Retrieval for Global E-Commerce. CoRR abs/2005.08188 (2020) - [i37]Hai Ye, Qingyu Tan, Ruidan He, Juntao Li, Hwee Tou Ng, Lidong Bing:
Feature Adaptation of Pre-Trained Language Models across Languages and Domains for Text Classification. CoRR abs/2009.11538 (2020) - [i36]Yan Zhang, Ruidan He, Zuozhu Liu, Kwan Hui Lim, Lidong Bing:
An Unsupervised Sentence Embedding Method byMutual Information Maximization. CoRR abs/2009.12061 (2020) - [i35]Zihao Fu, Bei Shi, Wai Lam, Lidong Bing, Zhiyuan Liu:
Partially-Aligned Data-to-Text Generation with Distant Supervision. CoRR abs/2010.01268 (2020) - [i34]Lu Xu, Hao Li, Wei Lu, Lidong Bing:
Position-Aware Tagging for Aspect Sentiment Triplet Extraction. CoRR abs/2010.02609 (2020) - [i33]Lu Xu, Lidong Bing, Wei Lu, Fei Huang:
Aspect Sentiment Classification with Aspect-Specific Opinion Spans. CoRR abs/2010.02696 (2020) - [i32]Yan Zhang, Zhijiang Guo, Zhiyang Teng, Wei Lu, Shay B. Cohen, Zuozhu Liu, Lidong Bing:
Lightweight, Dynamic Graph Convolutional Networks for AMR-to-Text Generation. CoRR abs/2010.04383 (2020) - [i31]Xin Li, Lidong Bing, Wenxuan Zhang, Zheng Li, Wai Lam:
Unsupervised Cross-lingual Adaptation for Sequence Tagging and Beyond. CoRR abs/2010.12405 (2020) - [i30]Bosheng Ding, Linlin Liu, Lidong Bing, Canasai Kruengkrai, Thien Hai Nguyen, Shafiq R. Joty, Luo Si, Chunyan Miao:
DAGA: Data Augmentation with a Generation Approach for Low-resource Tagging Tasks. CoRR abs/2011.01549 (2020) - [i29]Juntao Li, Ruidan He, Hai Ye, Hwee Tou Ng, Lidong Bing, Rui Yan:
Unsupervised Domain Adaptation of a Pretrained Cross-Lingual Language Model. CoRR abs/2011.11499 (2020)
2010 – 2019
- 2019
- [c59]Juntao Li, Lidong Bing, Lisong Qiu, Dongmin Chen, Dongyan Zhao, Rui Yan:
Learning to Write Stories with Thematic Consistency and Wording Novelty. AAAI 2019: 1715-1722 - [c58]Shen Gao, Xiuying Chen, Piji Li, Zhaochun Ren, Lidong Bing, Dongyan Zhao, Rui Yan:
Abstractive Text Summarization by Incorporating Reader Comments. AAAI 2019: 6399-6406 - [c57]Yifan Gao, Lidong Bing, Piji Li, Irwin King, Michael R. Lyu:
Generating Distractors for Reading Comprehension Questions from Real Examinations. AAAI 2019: 6423-6430 - [c56]Xin Li, Lidong Bing, Piji Li, Wai Lam:
A Unified Model for Opinion Target Extraction and Target Sentiment Prediction. AAAI 2019: 6714-6721 - [c55]Xin Li, Lidong Bing, Wenxuan Zhang, Wai Lam:
Exploiting BERT for End-to-End Aspect-based Sentiment Analysis. W-NUT@EMNLP 2019: 34-41 - [c54]Kaisong Song, Lidong Bing, Wei Gao, Jun Lin, Lujun Zhao, Jiancheng Wang, Changlong Sun, Xiaozhong Liu, Qi Zhang:
Using Customer Service Dialogues for Satisfaction Analysis with Context-Assisted Multiple Instance Learning. EMNLP/IJCNLP (1) 2019: 198-207 - [c53]Zihao Wang, Kwun Ping Lai, Piji Li, Lidong Bing, Wai Lam:
Tackling Long-Tailed Relations and Uncommon Entities in Knowledge Graph Completion. EMNLP/IJCNLP (1) 2019: 250-260 - [c52]Linlin Liu, Xiang Lin, Shafiq R. Joty, Simeng Han, Lidong Bing:
Hierarchical Pointer Net Parsing. EMNLP/IJCNLP (1) 2019: 1007-1017 - [c51]Ran Le, Wenpeng Hu, Mingyue Shang, Zhenjun You, Lidong Bing, Dongyan Zhao, Rui Yan:
Who Is Speaking to Whom? Learning to Identify Utterance Addressee in Multi-Party Conversations. EMNLP/IJCNLP (1) 2019: 1909-1919 - [c50]Jingjing Li, Yifan Gao, Lidong Bing, Irwin King, Michael R. Lyu:
Improving Question Generation With to the Point Context. EMNLP/IJCNLP (1) 2019: 3214-3224 - [c49]Zheng Li, Xin Li, Ying Wei, Lidong Bing, Yu Zhang, Qiang Yang:
Transferable End-to-End Aspect-based Sentiment Analysis with Selective Adversarial Learning. EMNLP/IJCNLP (1) 2019: 4589-4599 - [c48]Mingyue Shang, Piji Li, Zhenxin Fu, Lidong Bing, Dongyan Zhao, Shuming Shi, Rui Yan:
Semi-supervised Text Style Transfer: Cross Projection in Latent Space. EMNLP/IJCNLP (1) 2019: 4936-4945 - [c47]Chuang Fan, Hongyu Yan, Jiachen Du, Lin Gui, Lidong Bing, Min Yang, Ruifeng Xu, Ruibin Mao:
A Knowledge Regularized Hierarchical Approach for Emotion Cause Analysis. EMNLP/IJCNLP (1) 2019: 5613-5623 - [c46]Yifan Gao, Lidong Bing, Wang Chen, Michael R. Lyu, Irwin King:
Difficulty Controllable Generation of Reading Comprehension Questions. IJCAI 2019: 4968-4974 - [c45]Wang Chen, Hou Pong Chan
, Piji Li, Lidong Bing, Irwin King:
An Integrated Approach for Keyphrase Generation via Exploring the Power of Retrieval and Extraction. NAACL-HLT (1) 2019: 2846-2856 - [c44]Piji Li, Zihao Wang, Lidong Bing, Wai Lam:
Persona-Aware Tips Generation? WWW 2019: 1006-1016 - [i28]Piji Li, Zihao Wang, Lidong Bing, Wai Lam:
Persona-Aware Tips Generation. CoRR abs/1903.02156 (2019) - [i27]Wang Chen, Hou Pong Chan, Piji Li, Lidong Bing, Irwin King:
An Integrated Approach for Keyphrase Generation via Exploring the Power of Retrieval and Extraction. CoRR abs/1904.03454 (2019) - [i26]Linlin Liu, Xiang Lin, Shafiq R. Joty, Simeng Han, Lidong Bing:
Hierarchical Pointer Net Parsing. CoRR abs/1908.11571 (2019) - [i25]Zihao Wang, Kwun Ping Lai, Piji Li, Lidong Bing, Wai Lam:
Tackling Long-Tailed Relations and Uncommon Entities in Knowledge Graph Completion. CoRR abs/1909.11359 (2019) - [i24]Mingyue Shang, Piji Li, Zhenxin Fu, Lidong Bing, Dongyan Zhao, Shuming Shi, Rui Yan:
Semi-supervised Text Style Transfer: Cross Projection in Latent Space. CoRR abs/1909.11493 (2019) - [i23]Xin Li, Lidong Bing, Wenxuan Zhang, Wai Lam:
Exploiting BERT for End-to-End Aspect-based Sentiment Analysis. CoRR abs/1910.00883 (2019) - [i22]Jingjing Li, Yifan Gao, Lidong Bing, Irwin King, Michael R. Lyu:
Improving Question Generation With to the Point Context. CoRR abs/1910.06036 (2019) - [i21]Zheng Li, Xin Li, Ying Wei, Lidong Bing, Yu Zhang, Qiang Yang:
Transferable End-to-End Aspect-based Sentiment Analysis with Selective Adversarial Learning. CoRR abs/1910.14192 (2019) - [i20]Qian Yu, Lidong Bing, Qiong Zhang, Wai Lam, Luo Si:
Review-based Question Generation with Adaptive Instance Transfer and Augmentation. CoRR abs/1911.01556 (2019) - [i19]Haiyun Peng, Lu Xu, Lidong Bing, Fei Huang, Wei Lu, Luo Si:
Knowing What, How and Why: A Near Complete Solution for Aspect-based Sentiment Analysis. CoRR abs/1911.01616 (2019) - 2018
- [j8]Lidong Bing, Zheng-Yu Niu, Piji Li, Wai Lam, Haifeng Wang:
Learning a unified embedding space of web search from large-scale query log. Knowl. Based Syst. 150: 38-48 (2018) - [j7]Yi Liao, Wai Lam, Lidong Bing, Xin Shen:
Joint Modeling of Participant Influence and Latent Topics for Recommendation in Event-based Social Networks. ACM Trans. Inf. Syst. 36(3): 29:1-29:31 (2018) - [c43]Xin Li, Lidong Bing, Wai Lam, Bei Shi:
Transformation Networks for Target-Oriented Sentiment Classification. ACL (1) 2018: 946-956 - [c42]Bei Shi, Zihao Fu, Lidong Bing, Wai Lam:
Learning Domain-Sensitive and Sentiment-Aware Word Embeddings. ACL (1) 2018: 2494-2504 - [c41]Di Chen, Jiachen Du, Lidong Bing, Ruifeng Xu:
Hybrid Neural Attention for Agreement/Disagreement Inference in Online Debates. EMNLP 2018: 665-670 - [c40]Thanapon Noraset, Doug Downey, Lidong Bing:
Estimating Marginal Probabilities of n-grams for Recurrent Neural Language Models. EMNLP 2018: 2930-2935 - [c39]Jiachen Du, Wenjie Li, Yulan He, Ruifeng Xu, Lidong Bing, Xuan Wang:
Variational Autoregressive Decoder for Neural Response Generation. EMNLP 2018: 3154-3163 - [c38]Yi Liao, Lidong Bing, Piji Li, Shuming Shi, Wai Lam, Tong Zhang:
QuaSE: Sequence Editing under Quantifiable Guidance. EMNLP 2018: 3855-3864 - [c37]Xin Li, Lidong Bing, Piji Li, Wai Lam, Zhimou Yang:
Aspect Term Extraction with History Attention and Selective Transformation. IJCAI 2018: 4194-4200 - [c36]Haitian Sun, William W. Cohen, Lidong Bing:
Semi-Supervised Learning with Declaratively Specified Entropy Constraints. NeurIPS 2018: 4430-4440 - [i18]Piji Li, Lidong Bing, Wai Lam:
Actor-Critic based Training Framework for Abstractive Summarization. CoRR abs/1803.11070 (2018) - [i17]Yi Liao, Lidong Bing, Piji Li, Shuming Shi, Wai Lam, Tong Zhang:
Incorporating Pseudo-Parallel Data for Quantifiable Sequence Editing. CoRR abs/1804.07007 (2018) - [i16]Haitian Sun, William W. Cohen, Lidong Bing:
Semi-Supervised Learning with Declaratively Specified Entropy Constraints. CoRR abs/1804.09238 (2018) - [i15]Xin Li, Lidong Bing, Piji Li, Wai Lam, Zhimou Yang:
Aspect Term Extraction with History Attention and Selective Transformation. CoRR abs/1805.00760 (2018) - [i14]Xin Li, Lidong Bing, Wai Lam, Bei Shi:
Transformation Networks for Target-Oriented Sentiment Classification. CoRR abs/1805.01086 (2018) - [i13]Bei Shi, Zihao Fu, Lidong Bing, Wai Lam:
Learning Domain-Sensitive and Sentiment-Aware Word Embeddings. CoRR abs/1805.03801 (2018) - [i12]Yifan Gao, Jianan Wang, Lidong Bing, Irwin King, Michael R. Lyu:
Difficulty Controllable Question Generation for Reading Comprehension. CoRR abs/1807.03586 (2018) - [i11]Yifan Gao, Lidong Bing, Piji Li, Irwin King, Michael R. Lyu:
Generating Distractors for Reading Comprehension Questions from Real Examinations. CoRR abs/1809.02768 (2018) - [i10]Xin Li, Lidong Bing, Piji Li, Wai Lam:
A Unified Model for Opinion Target Extraction and Target Sentiment Prediction. CoRR abs/1811.05082 (2018) - [i9]Shen Gao, Xiuying Chen, Piji Li, Zhaochun Ren, Lidong Bing, Dongyan Zhao, Rui Yan:
Abstractive Text Summarization by Incorporating Reader Comments. CoRR abs/1812.05407 (2018) - 2017
- [j6]Lidong Bing, Zhiming Zhang, Wai Lam, William W. Cohen:
Towards a language-independent solution: Knowledge base completion by searching the Web and deriving language pattern. Knowl. Based Syst. 115: 80-86 (2017) - [c35]Lidong Bing, Bhuwan Dhingra, Kathryn Mazaitis, Jong Hyuk Park, William W. Cohen:
Bootstrapping Distantly Supervised IE Using Joint Learning and Small Well-Structured Corpora. AAAI 2017: 3408-3414 - [c34]Piji Li, Zihao Wang, Wai Lam, Zhaochun Ren, Lidong Bing:
Salience Estimation via Variational Auto-Encoders for Multi-Document Summarization. AAAI 2017: 3497-3503 - [c33]Piji Li, Lidong Bing, Wai Lam:
Reader-Aware Multi-Document Summarization: An Enhanced Model and The First Dataset. NFiS@EMNLP 2017: 91-99 - [c32]Peng Chen, Zhongqian Sun, Lidong Bing, Wei Yang:
Recurrent Attention Network on Memory for Aspect Sentiment Analysis. EMNLP 2017: 452-461 - [c31]Piji Li, Wai Lam, Lidong Bing, Weiwei Guo, Hang Li:
Cascaded Attention based Unsupervised Information Distillation for Compressive Summarization. EMNLP 2017: 2081-2090 - [c30]Piji Li, Wai Lam, Lidong Bing, Zihao Wang:
Deep Recurrent Generative Decoder for Abstractive Text Summarization. EMNLP 2017: 2091-2100 - [c29]Lidong Bing, William W. Cohen, Bhuwan Dhingra:
Using Graphs of Classifiers to Impose Declarative Constraints on Semi-supervised Learning. IJCAI 2017: 1454-1460 - [c28]Piji Li, Zihao Wang, Zhaochun Ren, Lidong Bing, Wai Lam:
Neural Rating Regression with Abstractive Tips Generation for Recommendation. SIGIR 2017: 345-354 - [i8]Lidong Bing, William W. Cohen, Bhuwan Dhingra:
Using Graphs of Classifiers to Impose Declarative Constraints on Semi-supervised Learning. CoRR abs/1703.01557 (2017) - [i7]Piji Li, Zihao Wang, Zhaochun Ren, Lidong Bing, Wai Lam:
Neural Rating Regression with Abstractive Tips Generation for Recommendation. CoRR abs/1708.00154 (2017) - [i6]Piji Li, Wai Lam, Lidong Bing, Zihao Wang:
Deep Recurrent Generative Decoder for Abstractive Text Summarization. CoRR abs/1708.00625 (2017) - [i5]Piji Li, Lidong Bing, Wai Lam:
Reader-Aware Multi-Document Summarization: An Enhanced Model and The First Dataset. CoRR abs/1708.01065 (2017) - 2016
- [j5]Lidong Bing, Tak-Lam Wong, Wai Lam:
Unsupervised Extraction of Popular Product Attributes from E-Commerce Web Sites by Considering Customer Reviews. ACM Trans. Internet Techn. 16(2): 12:1-12:17 (2016) - [c27]Lidong Bing, Mingyang Ling, Richard C. Wang, William W. Cohen:
Distant IE by Bootstrapping Using Lists and Document Structure. AAAI 2016: 2899-2905 - [c26]Bei Shi, Wai Lam, Lidong Bing, Yinqing Xu:
Detecting Common Discussion Topics Across Culture From News Reader Comments. ACL (1) 2016 - [c25]Lidong Bing, Zheng-Yu Niu, Wai Lam, Haifeng Wang:
Learning a Semantic Space of Web Search via Session Data. AIRS 2016: 83-97 - [c24]Lidong Bing, William W. Cohen, Bhuwan Dhingra, Richard C. Wang:
Using Graphs of Classifiers to Impose Constraints on Semi-supervised Relation Extraction. AKBC@NAACL-HLT 2016: 1-6 - [c23]Bei Shi, Wai Lam, Lidong Bing, Yinqing Xu:
Digesting Multilingual Reader Comments via Latent Discussion Topics with Commonality and Specificity. CIKM 2016: 2293-2298 - [c22]Tianshu Lyu, Lidong Bing, Zhao Zhang, Yan Zhang:
Efficient and Scalable Detection of Overlapping Communities in Big Networks. ICDM 2016: 1071-1076 - [c21]Kwun Ping Lai, Wai Lam, Lidong Bing:
CUIS at the NTCIR-12 MobileClick2 Task. NTCIR 2016 - [i4]Lidong Bing, Mingyang Ling, Richard C. Wang, William W. Cohen:
Distant IE by Bootstrapping Using Lists and Document Structure. CoRR abs/1601.00620 (2016) - [i3]Lidong Bing, Bhuwan Dhingra, Kathryn Mazaitis, Jong Hyuk Park, William W. Cohen:
Bootstrapping Distantly Supervised IE using Joint Learning and Small Well-structured Corpora. CoRR abs/1606.03398 (2016) - 2015
- [j4]Shoaib Jameel, Wai Lam, Lidong Bing:
Supervised topic models with word order structure for document classification and retrieval learning. Inf. Retr. J. 18(4): 283-330 (2015) - [j3]Lidong Bing, Shan Jiang, Wai Lam, Yan Zhang, Shoaib Jameel:
Adaptive Concept Resolution for document representation and its applications in text mining. Knowl. Based Syst. 74: 1-13 (2015) - [j2]Lidong Bing, Wai Lam, Tak-Lam Wong, Shoaib Jameel:
Web Query Reformulation via Joint Modeling of Latent Topic Dependency and Term Context. ACM Trans. Inf. Syst. 33(2): 6:1-6:38 (2015) - [c20]Lidong Bing, Piji Li, Yi Liao, Wai Lam, Weiwei Guo, Rebecca J. Passonneau:
Abstractive Multi-Document Summarization via Phrase Selection and Merging. ACL (1) 2015: 1587-1597 - [c19]Shoaib Jameel, Wai Lam, Steven Schockaert, Lidong Bing:
A Unified Posterior Regularized Topic Model with Maximum Margin for Learning-to-Rank. CIKM 2015: 103-112 - [c18]Shoaib Jameel, Wai Lam, Lidong Bing:
Nonparametric Topic Modeling Using Chinese Restaurant Franchise with Buddy Customers. ECIR 2015: 648-659 - [c17]Lidong Bing, Sneha Chaudhari, Richard C. Wang, William W. Cohen:
Improving Distant Supervision for Information Extraction Using Label Propagation Through Lists. EMNLP 2015: 524-529 - [c16]Bei Shi, Wai Lam, Lidong Bing, Yinqing Xu:
Multilingual Viewpoint Detection from news comments. IALP 2015: 189-192 - [c15]Piji Li, Lidong Bing, Wai Lam, Hang Li, Yi Liao:
Reader-Aware Multi-Document Summarization via Sparse Coding. IJCAI 2015: 1270-1276 - [i2]Piji Li, Lidong Bing, Wai Lam, Hang Li, Yi Liao:
Reader-Aware Multi-Document Summarization via Sparse Coding. CoRR abs/1504.07324 (2015) - [i1]Lidong Bing, Piji Li, Yi Liao, Wai Lam, Weiwei Guo, Rebecca J. Passonneau:
Abstractive Multi-Document Summarization via Phrase Selection and Merging. CoRR abs/1506.01597 (2015) - 2014
- [c14]Lidong Bing, Wai Lam, Shoaib Jameel, Chunliang Lu:
Website Community Mining from Query Logs with Two-Phase Clustering. CICLing (2) 2014: 201-212 - [c13]Lidong Bing, Rui Guo, Wai Lam, Zheng-Yu Niu, Haifeng Wang:
Web page segmentation with structured prediction and its application in web page classification. SIGIR 2014: 767-776 - 2013
- [j1]Lidong Bing, Wai Lam, Tak-Lam Wong:
Robust detection of semi-structured web records using a DOM structure-knowledge-driven model. ACM Trans. Web 7(4): 21:1-21:32 (2013) - [c12]Chunliang Lu, Lidong Bing, Wai Lam:
Structured positional entity language model for enterprise entity retrieval. CIKM 2013: 129-138 - [c11]Shan Jiang, Lidong Bing, Yan Zhang:
Towards an enhanced and adaptable ontology by distilling and assembling online encyclopedias. CIKM 2013: 1703-1708 - [c10]Lidong Bing, Wai Lam, Tak-Lam Wong:
Wikipedia entity expansion and attribute extraction from the web using semi-supervised learning. WSDM 2013: 567-576 - 2012
- [b1]Lidong Bing:
Information discovery from semi-structured record sets on the Web. Chinese University of Hong Kong, Hong Kong, 2012 - [c9]Lidong Bing, Tak-Lam Wong, Wai Lam:
Unsupervised Extraction of Popular Product Attributes from Web Sites. AIRS 2012: 437-446 - 2011
- [c8]Lidong Bing, Wai Lam, Tak-Lam Wong:
Using query log and social tagging to refine queries based on latent topics. CIKM 2011: 583-592 - [c7]Lidong Bing, Wai Lam, Yuan Gu:
Towards a unified solution: data record region detection and segmentation. CIKM 2011: 1265-1274 - [c6]Shan Jiang, Lidong Bing, Bai Sun, Yan Zhang, Wai Lam:
Ontology enhancement and concept granularity learning: keeping yourself current and adaptive. KDD 2011: 1244-1252 - [c5]Tak-Lam Wong, Lidong Bing, Wai Lam:
Normalizing web product attributes and discovering domain ontology with minimal effort. WSDM 2011: 805-814 - 2010
- [c4]