Lidong Bing (邴立东)

I will be at EMNLP 2020, welcome to have a chat!
Job and intern opportunities on NLP are available at R&D Center Singapore, Alibaba DAMO Academy. Send your CV to l.bing [at] alibaba-inc [dot] com OR binglidong [at] gmail [dot] com.

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Biography

I am a Research Scientist at R&D Center Singapore, Machine Intelligence Technology, Alibaba DAMO Academy. Prior to joining Alibaba, I was a Senior Researcher at Tencent AI Lab. I received my PhD degree from The Chinese University of Hong Kong and was a Postdoc Research Fellow in the Machine Learning Department at Carnegie Mellon University. My research interests include Sentiment Analysis, Text Generation/Summarization, Information Extraction, Knowledge Base, etc. CV in PDF.

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News

• November 2019. Four papers were accepted at AAAI 2020.
• August 2019. Eight papers were accepted at EMNLP 2019.
• May 2019. One paper was accetped at IJCAI 2019.
• January 2019, I gave a talk on "Text Generation, Editing and Summarization" at National Unviersity of Singapore, here is the slides.
• January 2019. One paper was accetped at WWW 2019.
• November 2018. I gave a keynote on Target Sentiment Analysis at ICDM-SENTIRE 2018, here is the slides.

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Publications

• Jingjing Li, Yifan Gao, Lidong Bing, Irwin King, Michael R. Lyu. Improving Question Generation With to the Point Context [PDF]. EMNLP, 2019.
  

• Kaisong Song, Lidong Bing, Wei Gao, Jun Lin, Lujun Zhao, Jiancheng Wang, Changlong Sun, Xiaozhong Liu, Qiong Zhang. Using Customer Service Dialogues for Satisfaction Analysis with Context-Assisted Multiple Instance Learning [PDF]. EMNLP, 2019.
  

• Linlin Liu, Xiang Lin, Shafiq Joty, Simeng Han, Lidong Bing. Hierarchical Pointer Net Parsing [PDF]. EMNLP, 2019.
  

• Mingyue Shang, Piji Li, Zhenxin Fu, Lidong Bing, Dongyan Zhao, Shuming Shi, Rui Yan. Semi-supervised Text Style Transfer: Cross Projection in Latent Space [PDF]. EMNLP, 2019.
  

• Zihao Wang, Kwunping Lai, Piji Li, Lidong Bing, Wai Lam. Tackling Long-Tailed Relations and Uncommon Entities in Knowledge Graph Completion [PDF]. EMNLP, 2019.
  

• Zheng Li, Xin Li, Ying Wei, Lidong Bing, Yu Zhang, Qiang Yang. Transferable End-to-End Aspect-based Sentiment Analysis with Selective Adversarial Learning [PDF]. EMNLP, 2019.
  

• 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 [PDF]. EMNLP, 2019.
  

• 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 [PDF]. EMNLP, 2019.
  

• Yifan Gao, Lidong Bing, Wang Chen, Irwin King, Michael R. Lyu. Difficulty Controllable Generation of Reading Comprehension Questions [PDF]. IJCAI, 2019.
  

• Wang Chen, Hou Pong Chan, Piji Li, Lidong Bing, Irwin King. An Integrated Approach for Keyphrase Generation via Exploring thePower of Retrieval and Extraction [PDF]. NAACL, 2019.
  

• Piji Li, Zihao Wang, Lidong Bing, Wai Lam. Persona-Aware Tips Generation [PDF]. The Web Conference (WWW), 2019.
  

• Yifan Gao, Lidong Bing, Piji Li, Irwin King, Michael R. Lyu. Generating Distractors for Reading Comprehension Questions from Real Examinations [PDF] [DATASET]. AAAI, 2019.
  

• Xin Li, Lidong Bing, Piji Li, Wai Lam. A Unified Model for Opinion Target Extraction and Target Sentiment Prediction [PDF] [CODE]. AAAI, 2019.
  

• Juntao Li, Lidong Bing, Lisong Qiu, Min Chen, Dongyan Zhao, Rui Yan. Learning to Write Creative Stories with Thematic Consistency [PDF]. AAAI, 2019.
  

• Shen Gao, Xiuying Chen, Piji Li, Zhaochun Ren, Lidong Bing, Dongyan Zhao, Rui Yan. Abstractive Text Summarization by Incorporating Reader Comments [PDF]. AAAI, 2019.
  

• Piji Li, Lidong Bing, and Wai Lam. Actor-Critic based Training Framework for Abstractive Summarization[PDF]. arXiv:1803.11070, 2018.
  

• Haitian Sun, Lidong Bing, and William W. Cohen. Semi-Supervised Learning with Declaratively Specified Entropy Constraints [PDF]. NIPS, 2018.
  

• Yi Liao, Lidong Bing, Piji Li, Shuming Shi, Wai Lam, and Tong Zhang. QuaSE: Sequence Editing (Accurate Text Style Transfer) under Quantifiable Guidance [PDF][CODE]. Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP'18). Oct 2018.
  

• Jiachen Du, Wenjie Li, Yulan He, Ruifeng Xu, Lidong Bing and Xuan Wang. Variational Autoregressive Decoder for Neural Response Generation [PDF]. Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP'18). Oct 2018.
  

• Di Chen, Jiachen Du, Lidong Bing and Ruifeng Xu. Hybrid Neural Attention for Agreement/Disagreement Inference in Online Debates [PDF]. Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP'18). Oct 2018.
  

• Thanapon Noraset, Doug Downey and Lidong Bing. Estimating Marginal Probabilities of n-grams for Recurrent Neural Language Models [PDF]. Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP'18). Oct 2018.
  

• Xin Li, Lidong Bing, Piji Li, Wai Lam, and Zhimou Yang. Aspect Term Extraction with History Attention and Selective Transformation[PDF] [DATASET] [CODE]. The 27th International Joint Conference on Artificial Intelligence (IJCAI'18). July 2018.
  

• Xin Li, Lidong Bing, Wai Lam, and Bei Shi. Transformation Networks for Target-Oriented Sentiment Classification[PDF] [CODE] [DATASET]. Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (ACL'18). July 2018.
  

• Bei Shi, Zihao Fu, Lidong Bing, and Wai Lam. Learning Domain-Sensitive and Sentiment-Aware Word Embeddings[PDF]. Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (ACL'18). July 2018.
  

• Lidong Bing, Zheng-Yu Niu, Piji Li, Wai Lam, and Haifeng Wang. Learning a Unified Embedding Space of Web Search from Large-scale Query Log [PDF]. Knowl.-Based Syst. (KBS). 2018.
  

• Yi Liao, Wai Lam, Lidong Bing, and Xin Shen. Joint Modeling of Participant Influence and Latent Topics for Recommendation in Event-based Social Networks [PDF]. ACM Transactions on Information Systems (TOIS). 2018.
  

• Lidong Bing, Bhuwan Dhingra, and William W. Cohen. Using Graphs of Classifiers to Impose Declarative Constraints on Semi-supervised Learning [PDF]. The 26th International Joint Conference on Artificial Intelligence (IJCAI'17). Aug 2017.
  

• Lidong Bing, Bhuwan Dhingra, Kathryn Mazaitis, Jong Hyuk Park, and William W. Cohen. Bootstrapping Distantly Supervised IE using Joint Learning and Small Well-structured Corpora [PDF] Some data available here . Proceedings of the 31st AAAI Conference on Artificial Intelligence (AAAI'17). Feb 2017.
  

• Peng Chen, Zhongqian Sun, Lidong Bing*, and Wei Yang. Recurrent Attention Network on Memory for Aspect Sentiment Analysis. [PDF] [DATASET] Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP'17). Sep 2017. (*: corresponding author)

• Lidong Bing, Zhiming Zhang, Wai Lam, and William W. Cohen. Towards a Language-independent Solution: Knowledge Base Completion by Searching the Web and Deriving Language Pattern[PDF]. Knowl.-Based Syst. (KBS). 2017.
  

• Piji Li, Wai Lam, Lidong Bing, and Zihao Wang. Deep Recurrent Generative Decoder for Abstractive Text Summarization. Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP'17). Sep 2017.

• Piji Li, Wai Lam, Lidong Bing, Weiwei Guo, and Hang Li. Cascaded Attention based Unsupervised Information Distillation for Compressive Summarization. Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP'17). Sep 2017.
  

• Piji Li, Lidong Bing, Wai Lam. Reader-Aware Multi-Document Summarization: An Enhanced Model and The First Dataset.. Proceedings of the EMNLP 2017 Workshop on New Frontiers in Summarization(EMNLP-NewSum'17). Sep 2017.
  

• Piji Li, Zhaochun Ren, Lidong Bing, Wai Lam. Neural Rating Regression with Abstractive Tips Generation for Recommendation [PDF]. The 40th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR'17). Aug 2017.
  

• Piji Li, ZihaoWang, Wai Lam, Zhaochun Ren, and Lidong Bing. Salience Estimation via Variational Auto-Encoders for Multi-Document Summarization[PDF]. Proceedings of the 31st AAAI Conference on Artificial Intelligence (AAAI'17). Feb 2017.
  

• Lidong Bing, Mingyang Ling, Richard C. Wang, and William W. Cohen. Distant IE by Bootstrapping Using Lists and Document Structure [PDF] [DATASET]. Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence (AAAI'16). Phoenix, Arizona. February 12–17, 2016.
  

• Lidong Bing, William W. Cohen, Bhuwan Dhingra, and Richard C. Wang. Using Graphs of Classifiers to Impose Constraints on Semi-supervised Relation Extraction [PDF]. Proceedings of the 5th Workshop on Automated Knowledge Base Construction (AKBC'16). June, 2016.
  

• Tianshu Lyu, Lidong Bing, Zhao Zhang, and Yan Zhang Efficient and Scalable Detection of Overlapping Communities in Big Networks . Proceedings of The IEEE International Conference on Data Mining (ICDM'16). Dec, 2016.
  

• Lidong Bing, Zheng-Yu Niu, Wai Lam, and Haifeng Wang, Learning a Semantic Space of Web Search via Session Data [PDF]. Proceedings of the 20th Asia Information Retrieval Societies Conference (AIRS'16). Dec, 2016.
  

• Bei Shi, Wai Lam, Lidong Bing, and Yinqing Xu. Digesting Multilingual Reader Comments via Latent Discussion Topics with Commonality and Specificity . Proceedings of The 25th ACM International Conference on Information and Knowledge Management (CIKM'16). Oct 2016.
  

• Bei Shi, Wai Lam, Lidong Bing, and Yinqing Xu. Detecting Common Discussion Topics Across Culture From News Reader Comments [PDF]. Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (ACL'16). Berlin, Germany. August 7-12, 2016.
  

• Lidong Bing, Tak-Lam Wong, and Wai Lam. Unsupervised Extraction of Popular Product Attributes from Ecommerce Web Sites by Considering Customer Reviews [PDF]. ACM Transactions on Internet Technology (TOIT). Volume 16 Issue 2, 2016.
  

• Kwun Ping Lai, Wai Lam, and Lidong Bing. CUIS at the NTCIR-12 MobileClick2 Task [PDF]. Proceedings of the 12th NTCIR Conference. Tokyo, Japan. June　7-10, 2016.
  

• Lidong Bing, Sneha Chaudhari, Richard C. Wang, and William W. Cohen. Improving Distant Supervision for Information Extraction Using Label Propagation Through Lists [PDF] [DATASET]. Proceedings of Conference on Empirical Methods in Natural Language Processing (EMNLP'15). Lisbon, Portugal. September 17–21, 2015.
  

• Bei Shi, Wai Lam, Lidong Bing, and Yinqing Xu. Multilingual Viewpoint Detection from news comments [PDF]. Proceedings of 2015 International Conference on Asian Language Processing (IALP'15). Suzhou, China. October 24-25, 2015.
  

• Shoaib Jameel, Wai Lam, Steven Schockaert, and Lidong Bing. A Unified Posterior Regularized Topic Model with Maximum Margin for Learning-to-Rank [PDF]. Proceedings of the 24th ACM International Conference on Information and Knowledge Management (CIKM'15). Melbourne, Australia. October 19-23, 2015.
  

• Lidong Bing, Piji Li, Yi Liao, Wai Lam, Weiwei Guo, and Rebecca Passonneau. Abstractive Multi-Document Summarization via Phrase Selection and Merging [PDF]. Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics (ACL'15). Beijing, China. July 26-31, 2015.
  

• Piji Li, Lidong Bing, Wai Lam, Hang Li and Yi Liao. Reader-Aware Multi-Document Summarization via Sparse Coding [PDF]. Proceedings of the 24th International Joint Conference on Artificial Intelligence (IJCAI'15). Buenos Aires, Argentina. July 25-31, 2015.
  

• Shoaib Jameel, Wai Lam, Lidong Bing. Supervised Topic Models with Word Order Structure for Document Classification and Retrieval Learning [PDF]. Information Retrieval Journal. 2015.
  

• Lidong Bing, Wai Lam, Tak-Lam Wong, and Shoaib Jameel. Web Query Reformulation via Joint Modeling of Latent Topic Dependency and Term Context [PDF]. ACM Transactions on Information Systems (TOIS). Volume 33, pp. 6:1-6:38. 2015.
  

• Lidong Bing, Shan Jiang, Wai Lam, Yan Zhang, Shoaib Jameel. Adaptive Concept Resolution for Document Representation and Its Applications in Text Mining [PDF]. Knowledge-Based Systems (KBS) 74: 1-13. 2015.
  

• Shoaib Jameel, Wai Lam, and Lidong Bing. Nonparametric Topic Modeling using Chinese Restaurant Franchise with Buddy Customers [PDF]. The annual European Conference on Information Retrieval (ECIR'15). Nienna, Austria. March 29 to April 2, 2015.
  

• Lidong Bing, Rui Guo, Wai Lam, Zheng-Yu Niu and Haifeng Wang. Web Page Segmentation with Structured Prediction and its Application in Web Page Classification [PDF]. The 37rd international ACM SIGIR conference on research and development in Information Retrieval (SIGIR'14). Gold Coast, Australia. July 6-11, 2014.
  

• Lidong Bing, Wai Lam, Shoaib Jameel, and Chunliang Lu. Website Community Mining from Query Logs with Two-phase Clustering [PDF]. Proceedings of the 15th International Conference on Intelligent Text Processing and Computational Linguistics(CICLing'14). Kathmandu, Nepal. April 6-12, 2014.
  

• Lidong Bing, Wai Lam, and Tak-Lam Wong. Robust Detection of Semi-structured Web Records Using DOM Structure Knowledge Driven Model [PDF] [DATASET]. ACM Transactions on the Web (TWEB) 7(4): 21. 2013.
  

• Chunliang Lu, Lidong Bing, Wai Lam, Ki Chan and Yuan Gu. Web Entity Detection for Semi-structured Text Data Records with Unlabeled Data [PDF]. International Journal of Computational Linguistics and Applications (IJCLA). 2013.
  

• Shan Jiang, Lidong Bing, and Yan Zhang. Towards an Enhanced and Adaptable Ontology by Distilling and Assembling Online Encyclopedias [PDF]. Proceedings of the 22nd ACM Conference on Information and Knowledge Management (CIKM'13). San Francisco, CA, USA. October 27 to November 1, 2013.
  

• Chunliang Lu, Lidong Bing, and Wai Lam. Structured Positional Entity Language Model for Enterprise Entity Retrieval [PDF]. Proceedings of the 22nd ACM Conference on Information and Knowledge Management (CIKM'13). San Francisco, CA, USA. October 27 to November 1, 2013.
  

• Lidong Bing, Wai Lam, and Tak-Lam Wong. Wikipedia Entity Expansion and Attribute Extraction from the Web Using Semi-supervised Learning [PDF]. Proceedings of the 6th ACM International Conference on Web Search and Data Mining (WSDM'13). Rome, Italy. February 4-8, 2013.
  

• Lidong Bing, Tak-Lam Wong, and Wai Lam. Unsupervised Extraction of Popular Product Attributes from Web Sites [PDF]. Proceedings of the 8th Asia Information Retrieval Societies Conference (AIRS'12). Tianjin, China. December 17-19, 2012

• Lidong Bing, Wai Lam, and Yuan Gu. Towards a Unified Solution: Data Record Region Detection and Segmentation [PDF]. Proceedings of the 20th ACM Conference on Information and Knowledge Management (CIKM'11). Glasgow, Scotland, UK. October 24-28, 2011.
  

• Lidong Bing, Tak-Lam Wong, and Wai Lam. Using Query Log and Social Tagging to Refine Queries Based on Latent Topics [PDF] (typo fixed). Proceedings of the 20th ACM Conference on Information and Knowledge Management (CIKM'11). Glasgow, Scotland, UK. October 24-28, 2011.
  

• Shan Jiang, Lidong Bing, Bai Sun, Yan Zhang, and Wai Lam. Ontology Enhancement and Concept Granularity Learning: Keeping Yourself Current and Adaptive [PDF]. Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'11). San Diego, USA. August 21-24, 2011.
  

• Lidong Bing and Wai Lam. Investigation of Web Query Refinement via Topic Analysis and Learning with Personalization [PDF]. Proceedings of the 2nd SIGIR Workshop on Query Representation and Understanding (SIGIR-QRU). Beijing, China. July 28, 2011.
  

• Tak-Lam Wong, Lidong Bing, and Wai Lam. Normalizing Web Product Attributes and Discovering Domain Ontology with Minimal Effort [PDF]. Proceedings of the 4th ACM International Conference on Web Search and Data Mining (WSDM'11). Hong Kong. February 9-12, 2011

• Lidong Bing, Bai Sun, Shan Jiang, Yan Zhang, and Wai Lam. Learning Ontology Resolution for Document Representation and its Applications in Text Mining [PDF]. Proceedings of the 19th ACM Conference on Information and Knowledge Management (CIKM'10). Toronto, Canada. October 26-30, 2010.
  

• Yi Zhang, Yexin Wang, Lidong Bing, and Yan Zhang. Weighting Links Using Lexical and Positional Analysis in Web Ranking [PDF]. Proceedings of the 9th International Conference on Web-Age Information Management (WAIM'08). Zhangjiajie, China. July 20-22, 2008.
  

• Lidong Bing, Yexin Wang, Yan Zhang, and Hui Wang. Primary Content Extraction with Mountain Model [PDF]. Proceedings of the IEEE 8th International Conference on Computer and Information Technology (CIT'08). Sydney, Australia. July 8-11, 2008.
  

• Yi Zhang, Lidong Bing, Yexin Wang, and Yan Zhang. LET: Towards More Precise Clustering of Search Results [PDF]. Proceedings of 4th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD'07). Haikou, China. August 24-27, 2007.
  

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Talks

• January 2019, National Unviersity of Singapore, I gave a talk on "Text Generation, Editing and Summarization", here is the slides.
• January 2019, Westlake University, I gave a talk on Target Sentiment Analysis.
• November 2018. I gave a keynote on Target Sentiment Analysis at ICDM-SENTIRE 2018, here is the slides.
• September 2018, Singapore University of Technology and Design, I gave a talk on Target Sentiment Analysis.

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Datasets

• Medical Relation Detection Dataset in DIEBOLDS.
  This data is used in our AAAI 2016 paper (Distant IE by Bootstrapping Using Lists and Document Structure) for extracting 8 relations (such as sideEffects and riskFactors) in biomedical documents. [PDF]. The data in this release has four parts: input corpora, Freebase seeds, labeled evaluation data, and BioASQ queries.
  Feel free to contact the authors for any unclear issue, and please cite our paper if you use this data in your works.
  README and DOWNLOAD

• Medical Entity Detection Dataset in DIEL.
  This data is used in our EMNLP 2015 paper, with title "Improving Distant Supervision for Information Extraction Using Label Propagation Through Lists" [PDF]. The Freebase seeds are extracted from a snapshot in 2014-04, and the bipartite graph and features are processed from a corpus downloaded from dailymed.nlm.nih.gov which contains 28,590 XML documents.
  Feel free to contact the authors for any unclear issue, and please cite our paper if you use this data in your works.
  README and DOWNLOAD

• Datasets for semi-structured data record detection.
  The first dataset, named TWEB_TB2, has 200 pages. The pages are static Web pages collected from different online shopping and university Web sites. The second dataset, named TWEB_TB3, has 100 pages. The pages mainly contain complicated flat data records and intertwined data records.
  These two datasets were generated along with the paper "Lidong Bing, Wai Lam, and Tak-Lam Wong. Robust Detection of Semi-structured Web Records Using DOM Structure Knowledge Driven Model [PDF]. ACM Transactions on the Web (TWEB)". More details about the datasets can be found in the paper.

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Professional Activities

• Journal reviewer:
  ACM Transactions on Information Systems (TOIS)
  IEEE Transactions on Knowledge and Data Engineering (TKDE)
  ACM Transactions on the Web (TWEB)
  ACM Transactions on Intelligent Systems and Technology (ACM TIST)
  Neurocomputing
  Neural Networks
  Neural Computing and Applications (NCA)
  Knowledge-based Systems (KBS)
  Information Processing and Management (IPM)
  

• Conference PC/SPC member:
  SPC, The AAAI Conference on Artificial Intelligence 2019
  The Annual Meeting of the Association for Computational Linguistics (ACL), 2017 and 2018
  The International Joint Conference on Artificial Intelligence (IJCAI), 2017 and 2018
  The AAAI Conference on Artificial Intelligence, 2017 and 2018
  International ACM SIGIR Conference on Research and Development in Information Retrieval, 2016 to 2018
  The 21st International Conference on Artificial Intelligence and Statistics (AISTATS), 2018
  International World Wide Web Conference (WWW), 2018
  The 26th ACM International Conference on Information and Knowledge Management (CIKM), 2017
  China National Conference on Computational Linguistics (CCL), 2016 and 2017
  Conference on Empirical Methods in Natural Language Processing (EMNLP), 2013 and 2015
  The 4th CCF Conference on Natural Language Processing & Chinese Computing (NLPCC), 2015 .
  International Joint Conference on Natural Language Processing (IJCNLP), 2013.
  Asia Information Retrieval Societies Conference (AIRS), 2012 and 2013.