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Jiaqi Li, Ming Liu, Bing Qin, Ting Liu: A survey of discourse parsing. Frontiers Comput. Sci. 16(5): 165329 (2022)
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)
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
Yang Wu, Yanyan Zhao, Hao Yang, Song Chen, Bing Qin, Xiaohuan Cao, Wenting Zhao: Sentiment Word Aware Multimodal Refinement for Multimodal Sentiment Analysis with ASR Errors. ACL (Findings) 2022: 1397-1406
Li Du, Xiao Ding, Yue Zhang, Ting Liu, Bing Qin: A Graph Enhanced BERT Model for Event Prediction. ACL (Findings) 2022: 2628-2638
Yuxuan Gu, Xiaocheng Feng, Sicheng Ma, Jiaming Wu, Heng Gong, Bing Qin: Improving Controllable Text Generation with Position-Aware Weighted Decoding. ACL (Findings) 2022: 3449-3467
Xiachong Feng, Xiaocheng Feng, Libo Qin, Bing Qin, Ting Liu. Language Model as an Annotator: Exploring DialoGPT for Dialogue Summarization. ACL 2021
Li Du, Xiao Ding, Kai Xiong, Ting Liu, Bing Qin. EXCAR:Event Graph Knowledge Enhanced Explainable Causal Reasoning. ACL 2021
Yang Wu, Zijie Lin, Yanyan Zhao, Bing Qin, Li-Nan Zhu. A Text-Centered Shared-Private Framework via Cross-Modal Prediction for Multimodal Sentiment Analysis. Findings of ACL 2021
Xiachong Feng, Xiaocheng Feng, Bing Qin, Xinwei Geng. Dialogue Discourse-Aware Graph Model and Data Augmentation for Meeting Summarization. IJCAI 2021
Xinwei Geng, Xiaocheng Feng, Bing Qin. Learning to Rewrite for Non-Autoregressive Neural Machine Translation. EMNLP 2021
Jihao Shi, Xiao Ding, Li Du, Ting Liu, Bing Qin. Neural Natural Logic Inference for Interpretable Question Answering. EMNLP 2021
Haichao Zhu, Zekun Wang, Heng Zhang, Ming Liu, Sendong Zhao, Bing Qin. Less Is More: Domain Adaptation with Lottery Ticket for Reading Comprehension. Findings of EMNLP
Xin Lu, Yijian Tian, Yanyan Zhao, Bing Qin. Retrieve, Discriminate and Rewrite: A Simple and Effective Framework for Obtaining Affective Response in Retrieval-Based Chatbots. Findings of EMNLP
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
Yibo Sun, Duyu Tang, Nan Duan, Yeyun Gong, Xiaocheng Feng, Bing Qin, Daxin Jiang. Neural Semantic Parsing in Low-Resource Settings with Back-Translation and Meta-Learning. AAAI 2020
Xinwei Geng, Longyue Wang, Xing Wang, Bing Qin, Ting Liu, Zhaopeng Tu. How Does Selective Mechanism Improve Self-Attention Networks? ACL2020
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. Findings of EMNLP 2020
Yiming Cui, Wanxiang Che, Ting Liu, Bing Qin, Shijin Wang, Guoping Hu. Revisiting Pre-Trained Models for Chinese Natural Language Processing. Findings of EMNLP 2020
Xin Lu, Yanyan Zhao, Yang Wu, Yijian Tian, Huipeng Chen, Bing Qin. An Iterative Emotion Interaction Network for Emotion Recognition in Conversations. COLING 2020
Heng Gong, Yawei Sun, Xiaocheng Feng, Bing Qin, Wei Bi, Xiaojiang Liu, Ting Liu. GPT-based Few-shot Table-to-Text Generation with Table Structure Reconstruction and Content Matching. COLING 2020
Jianhua Yuan, Yanyan Zhao, Jingfang Xu, Bing Qin. Exploring Answer Stance Detection with Recurrent Conditional Attention. AAAI 2019
Tianwen Jiang, Tong Zhao, Bing Qin, Ting Liu, Nitesh V. Chawla, and Meng Jiang. The Role of "Condition": A Novel Scientific Knowledge Graph Representation and Construction Model. ACM SIGKDD 2019
Haichao Zhu, Li Dong, Furu Wei, Wenhui Wang, Bing Qin, Ting Liu. Learning to Ask Unanswerable Questions for Machine Reading Comprehension. ACL 2019
Yiming Cui, Wanxiang Che, Ting Liu, Bing Qin, Shijin Wang, Guoping Hu. Cross-Lingual Machine Reading Comprehension. EMNLP-IJCNLP 2019
Tianwen Jiang, Tong Zhao, Bing Qin, Ting Liu, Nitesh Chawla, Meng Jiang. Multi-input Multi-output Sequence Labeling for Joint Extraction of Fact and Condition Tuples from Scientific Text. EMNLP-IJCNLP 2019
Ming Liu, Bing Qin, Ting Liu. Collective Entity Linking: A Multi-View Aspect. ACM Transactions on Information Systems, 2018, minor revision. SCI, IF 1.77.
Ming Liu, Yanyan Zhao, Bing Qin, Ting Liu. Collective Entity Linking: A Random Walk Based Perspective. Knowledge and Information System, 2018, Accepted.
Xiaocheng Feng, Xiachong Feng, Bing Qin, Zhangyin Feng, Ting Liu. Improving Low Resource Named Entity Recognition using Cross-lingual Knowledge Transfer. IJCAI 2018.
Xiaocheng Feng, Ming Liu, Jiahao Liu, Bing Qin, Yibo Sun, Ting Liu. Topic-to-Essay Generation with Neural Networks. IJCAI 2018.
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 2018.
Sendong Zhao, Meng Jiang, Ming Liu, Bing Qin, Ting Liu. CausalTriad: Toward Pseudo Causal Relation Discovery and Hypotheses Generation from Medical Text Data. ACM-BCB.
Ruyang Li, Bing Qin, Wenjing Ren, Ting Liu. Document Representation and Feature Combination for Deceptive Spam Review Detection. Neurocomputing, 2017, 254, 6, 33-41.
Sendong 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.
Xiaocheng Feng, Jiang Guo, Bing Qin, Ting Liu, Yongjie Liu. Effective Deep Memory Networks for Distant Supervised Relation Extraction. IJCAI 2017.
Sendong Zhao, Quan Wang, Sean Massung, Bing Qin, Ting Liu. Chengxiang Zhai. Constructing and Embedding Abstract Event Causality Networks form Text Snippets. WSDM 2017.
Duyu Tang, Furu Wei, Bing Qin, Yang Nan, Ting Liu, Ming Zhou. Sentiment Embeddings with Applications to Sentiment Analysis. IEEE Transactions on Knowledge and Data Engineering, 2016, 28(2), 496-509.
Yanyan Zhao, Bing Qin, Ting Liu, Duyu Tang. Social Sentiment Sensor: a Visualization System for Topic Detection and Topic Sentiment Analysis on Microblog. Multimedia Tools and Applications, 2016, 75(15), 8843–8860.
Xiaocheng Feng, Lifu Huang, Duyu Tang, Heng Ji, Bing Qin, Ting Liu. A Language-Independent Neural Network for Event Detection. ACL 2016.
Duyu Tang, Bing Qin, Ting Liu. Aspect Level Sentiment Classification with Deep Memory Network. EMNLP 2016.
Duyu Tang, Bing Qin, Xiaocheng Feng, Ting Liu. Effective LSTMs for Target-Dependent Sentiment Classification. COLING 2016.
Xiaocheng Feng, Duyu Tang, Bing Qin, Ting Liu. English-Chinese Knowledge Base Translation with Neural Network. COLING 2016.
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, 23(11), 1750-1761.
Ruiji Fu, Jiang Guo, Bing Qin, Wanxiang Che, Haifeng Wang, Ting Liu. Learning Semantic Hierarchies: A Continuous Vector Space Approach. IEEE/ACM Transactions on Audio Speech and Language Processing, 2015, 23(3), 461-471.
Xiao Ding, Bing Qin, Ting Liu. BUEES a Bottom up Event Extraction System. Frontiers of Information Technology and Electronic Engineering, 2015, 16(7), 541-552.
Yanyan Zhao, Bing Qin, Ting Liu. Creating a Fine-Grained Corpus for Chinese Sentiment Analysis. IEEE Intelligent Systems, 2015, 30(1), 36-43.
Yanyan Zhao, Bing Qin, Ting Liu, Wei Yang. Aspect-Object Alignment with Integer Linear Programming in Opinion Mining. PLOS ONE, 2015, 22, 10(5): e0125084.
Duyu Tang, Bing Qin, Ting Liu. Deep Learning for Sentiment Analysis: Successful Approaches and Future Challenges. WIREs Data Mining and Knowledge Discovery, 2015, 5(6), 292-303.
Duyu Tang, Bing Qin, Ting Liu, Yuekui Yang. User Modeling with Neural Network for Review Rating Prediction. IJCAI 2015.
Duyu Tang, Bing Qin, Ting Liu. Learning Semantic Representations of Users and Products for Document Level Sentiment Classification. ACL 2015.
Muyu Zhang, Bing Qin, Ting Liu. Triple based Background Knowledge Ranking for Docu- ment Enrichment. COLING 2014.
Ruiji Fu, Jiang Guo, Bing Qin, Wanxiang Che, Haifeng Wang, Ting Liu. Learning Semantic Hierarchies via Word Embeddings. ACL 2014.
Duyu Tang, Furu Wei, Bing Qin, Ming Zhou, Ting Liu. Building Large-Scale Twitter-Specific Sentiment Lexicon : A Representation Learning Approach. COLING 2014.
Duyu Tang, Furu Wei, Nan Yang, Ming Zhou, Ting Liu, Bing Qin. Learning Sentiment-Specific Word Embedding for Twitter Sentiment Classification. ACL 2014.
Yanyan Zhao, Wanxiang Che, Honglei Guo, Bing Qin, Zhong Su, Ting Liu. Sentence Compression for Target-Polarity Word Colloca- tion Extraction. COLING 2014.
Duyu Tang, Furu Wei, Bing Qin, Li Dong, Ting Liu, Ming Zhou. A Joint Segmentation and Classification Framework for Sentiment Analysis. EMNLP 2014.
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