Duyu Tang

Dr. Duyu Tang is a Researcher in the Natural Language Computing group at Microsoft Research Asia.

Duyu’s research interest includes natural language processing, machine learning, and information retrieval. He is currently working on question answering and reasoning.

Duyu joined MSRA-NLC in July. 2016, after he received his Ph.D. degree from Harbin Institute of Technology.

Publications

1. Daya Guo, Duyu Tang, Nan Duan, Ming Zhou and Jian Yin, “Coupling Retrieval and Meta-Learning for Context-Dependent Semantic Parsing”, ACL, 2019.
2. 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. 2019. IEEE Transactions on Knowledge and Data Engineering.
3. Junwei Bao, Duyu Tang, Nan Duan, Zhao Yan, Ming Zhou, Tiejun Zhao. Text Generation from Tables. 2019. IEEE/ACM Transactions on Audio, Speech, and Language Processing.
4. Daya Guo, Duyu Tang, Nan Duan, Ming Zhou, Jian Yin. Dialog-to-Action: Conversational Question Answering Over a Large-Scale Knowledge Base. 2018. NeurIPS.
5. Daya Guo, Yibo Sun, Duyu Tang, Nan Duan, Jian Yin, Hong Chi, James Cao, Peng Chen and Ming Zhou. Question Generation from SQL Queries Improves Neural Semantic Parsing. 2018. EMNLP.
6. Yibo Sun, Duyu Tang, Nan Duan, Jianshu Ji, Guihong Cao, Xiaocheng Feng, Bing Qin, Ting Liu and Ming Zhou. Semantic Parsing with Syntax- and Table-Aware SQL Generation. 2018. ACL.
7. Duyu Tang, Nan Duan, Zhao Yan, Zhirui Zhang, Yibo Sun, Shujie Liu, Yuanhua Lv and Ming Zhou. Learning to Collaborate for Question Answering and Asking. 2018. NAACL.
8. Junwei Bao, Duyu Tang, Nan Duan, Zhao Yan, Yuanhua Lv, Ming Zhou, Tiejun Zhao. Table-to-Text: Describing Table Region with Natural Language. 2018. AAAI. [data]
9. Zhao Yan, Duyu Tang, Nan Duan, Shujie Liu, Wendi Wang, Daxin Jiang, Ming Zhou, Zhoujun Li. Assertion-based QA with Question-Aware Open Information Extraction. 2018. AAAI. [data]
10. Duyu Tang, Meishan Zhang. Deep Learning in Sentiment Analysis. a chapter in Deep Learning in Natural Language Processing. 2018. Springer
11. Yaming Sun, Zhenzhou Ji, Lei Lin, Xiaolong Wang, Duyu Tang. Entity disambiguation with memory network. Neurocomputing. 2018.
12. Yibo Sun, Zhao Yan, Duyu Tang, Nan Duan, Bing Qin. Content-Based Table Retrieval for Web Queries. 2018. Neurocomputing. [data]
13. Duyu Tang, Nan Duan, Tao Qin, Zhao Yan, Yibo Sun, Ming Zhou. Question answering and question generation as dual tasks. 2017. arxiv
14. Nan Duan, Duyu Tang, Peng Chen, Ming Zhou, Question Generation for Question Answering, EMNLP, 2017.
15. Yaming Sun, Zhenzhou Ji, Lei Lin, Duyu Tang, Xiaolong Wang. Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery. 2017
16. Duyu Tang, Bing Qin, Ting Liu. Aspect Level Sentiment Classification with Deep Memory Network. Proceeding of the Conference on Empirical Methods in Natural Language Processing (EMNLP 2016, full paper) [resource]
17. Duyu Tang, Bing Qin, Xiaocheng Feng, Ting Liu. Effective LSTMs for Target-Dependent Sentiment Classification. Proceeding of the 26th International Conference on Computational Linguistics (COLING 2016, full paper)[resource]
18. Xiaocheng Feng, Duyu Tang, Bing Qin, Ting Liu. English-Chinese Knowledge Base Translation with Neural Network. Proceeding of the 26th International Conference on Computational Linguistics (COLING 2016, full paper)
19. Xiaocheng Feng, Lifu Huang, Duyu Tang, Bing Qin, Heng Ji, Ting Liu. A Language-Independent Neural Network for Event Detection. Proceeding of the 54th Annual Meeting of the Association for Computational Linguistics (ACL 2016, short paper)
20. Duyu Tang, Furu Wei, Bing Qin, Nan Yang, Ting Liu, Ming Zhou. Sentiment Embeddings with Applications to Sentiment Analysis. IEEE Transactions on Knowledge and Data Engineering (TKDE). 2016. [resource]
21. Duyu Tang, Bing Qin, Ting Liu. Document Modeling with Gated Recurrent Neural Network for Sentiment Classification. Proceeding of the Conference on Empirical Methods in Natural Language Processing (EMNLP 2015, full paper)[resource]
22. Duyu Tang, Bing Qin, Ting Liu. Learning Semantic Representations of Users and Products for Document Level Sentiment Classification. The 53rd Annual Meeting of the Association for Computational Linguistics (ACL 2015, full paper).[resource]
23. Duyu Tang, Bing Qin, Ting Liu, Yuekui Yang. User Modeling with Neural Network for Review Rating Prediction. Proceeding of The 24th International Joint Conference on Artificial Intelligence (IJCAI 2015, full paper).
24. Yaming Sun, Lei Lin, Duyu Tang, Nan Yang, Zhenzhou Ji, Xiaolong Wang. Modeling Mention, Context and Entity with Neural Networks for Entity Disambiguation. Proceeding of The 24th International Joint Conference on Artificial Intelligence (IJCAI 2015, full paper).
25. Duyu Tang. Sentiment-Specific Representation Learning for Document-Level Sentiment Analysis. Proceedings of the Eighth ACM International Conference on Web Search and Data Mining (WSDM 2015, Doctoral Consortium).
26. 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 Transactions on Audio, Speech and Language Processing. 2015.
27. Duyu Tang, Bing Qin, Ting Liu. Deep Learning for Sentiment Analysis: Successful Approaches and Future Challenges. WIREs Data Mining and Knowledge Discovery. 2015.
28. Duyu Tang, Furu Wei, Bing Qin, Li Dong, Ting Liu, Ming Zhou. A Joint Segmentation and Classification Framework for Sentiment Analysis. Proceeding of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP 2014, full paper)
29. Duyu Tang, Furu Wei, Bing Qin, Ming Zhou, Ting Liu. Building Large-Scale Twitter-Specific Sentiment Lexicon : A Representation Learning Approach. Proceeding of the 25th International Conference on Computational Linguistics (COLING 2014, full paper)[resource]
30. Duyu Tang, Furu Wei, Bing Qin, Ting Liu, Ming Zhou. Coooolll: A Deep Learning System for Twitter Sentiment Classification. Proceedings of the 8th International Workshop on Semantic Evaluation (SemEval 2014, the second place among 45 participants)
31. Duyu Tang, Furu Wei, Nan Yang, Ming Zhou, Ting Liu, Bing Qin. Learning Sentiment-Specific Word Embedding for Twitter Sentiment Classification. Proceeding of the 52th Annual Meeting of the Association for Computational Linguistics (ACL 2014, full paper)[resource]
32. Li Dong, Furu Wei, Chuanqi Tan, Duyu Tang, Ming Zhou, Ke Xu. Adaptive Recursive Neural Network for Target-dependent Twitter Sentiment Classification. Proceeding of the 52th Annual Meeting of the Association for Computational Linguistics (ACL 2014, short paper)
33. Duyu Tang, Bing Qin, Ting Liu, Zhenghua Li. Learning Sentence Representation for Emotion Classification on Microblogs. The 2nd Conference on Natural Language Processing and Chinese Computing (NLPCC 2013, full paper)

Students

1. Yuechen Wang (University of Science and Technology of China)
2. Akari Asai (The University of Tokyo)
3. Shangwen Lv (University of Chinese Academy of Sciences)
4. Yanzhao Zhou (University of Chinese Academy of Sciences)
5. Wanjun Zhong (Sun Yat-Sen University & MSRA Joint PhD)
6. Daya Guo (Sun Yat-Sen University & MSRA Joint PhD)
7. Jingjing Xu (Peking University)
8. Yibo Sun (Harbin Institute of Technology)