Publications

Research papers (journals, confereces, workshops)

2020

  • Debunking Rumors on Twitter with Tree Transformer [PDF]
    Jing Ma and Wei Gao
    COLING 2020: The 28th International Conference on Computational Linguistics, Dec 2020, online.

  • AnswerFact: Fact Checking in Product Question Answering
    Wenxuan Zhang, Yang Deng, Jing Ma and Wai Lam
    EMNLP 2020: The 2020 Conference on Empirical Methods in Natural Language Processing, Nov 2020, online.

  • Attention-based Multi-level Feature Fusion for Named Entity Recognition [PDF]
    Zhiwei Yang, Hechang Chen, Jiawei Zhang, Jing Ma and Yi Chang
    IJCAI 2020: The 29th International Joint Conference on Artificial Intelligence, July 2020, Yokohama, Japan.

  • An Attention-based Rumor Detection Model with Tree-structured Recursive Neural Networks [PDF]
    Jing Ma, Wei Gao, Shafiq Joty, and Kam-Fai Wong
    TIST: ACM Transactions on Intelligent Systems and Technology, pages 1-28.

  • Review-guided Helpful Answer Identification in E-commerce [PDF]
    WWenxuan Zhang, Wai Lam, Yang Deng and Jing Ma
    WWW 2020: The Web Conference 2020, April 2020, Taipei.

2019

  • Sentence-Level Evidence Embedding for End-to-End Claim Verification with Hierarchical Attention Networks [PDF]
    Jing Ma, Wei Gao, Shafiq Joty, and Kam-Fai Wong
    ACL 2019: The 57th Annual Meeting of the Association for Computational Linguistics, July 2019, Florence, Italy.

  • Detect Rumors on Twitter by Promoting Information Campaigns with Generative Adversarial Learning [PDF]
    Jing Ma, Wei Gao, and Kam-Fai Wong
    WWW 2019: The Web Conference 2019, May 2019, San Francisco, USA.

2018

  • Utilizing Computational Trust to Identify Rumor Spreaders on Twitter
    Bhavtosh Rath, Wei Gao, Jing Ma, and Jaideep Srivastava
    SNAM: Social Network Analysis and Mining, 8:64, December 2018, Springer

  • Rumor Detection on Twitter with Tree-structured Recursive Neural Networks [PDF]
    Jing Ma, Wei Gao, and Kam-Fai Wong
    ACL 2018: The 56th Annual Meeting of the Association for Computational Linguistics, July 2018, Melbourne, Australia.

  • Detect Rumor and Stance Jointly by Neural Multi-task Learning [PDF]
    Jing Ma, Wei Gao, and Kam-Fai Wong
    WWW 2018 Companion: The Web Conference 2018 Companion (Alternate Track on Journalism, MisInformation, and Fact-checking), April 2018, Lyon, France.

2017

  • Detect Rumors in Microblog Posts Using Propagation via Kernel Learning [PDF]
    Jing Ma, Wei Gao, and Kam-Fai Wong
    ACL 2017: The 55th Annual Meeting of the Association for Computational Linguistics, July 2017, Vancouver, Canada.

  • From Retweet to Believability: Utilizing Trust to Identify Rumor Spreaders on Twitter [PDF]
    Bhavtosh Rath, Wei Gao, Jing Ma, and Jaideep Srivastava
    ASONAM 2017: The 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, August 2017, Sydney, Australia.

2016

  • Detecting Rumors from Microblogs with Recurrent Neural Networks [PDF]
    Jing Ma, Wei Gao, Prasenjit Mitra, Sejeong Kwon, Bernard J. Jansen, Kam-Fai Wong, and Meeyoung Cha
    IJCAI 2016: The 25th International Joint Conference on Artificial Intelligence, July 2016, New York, USA.

2015

  • Detect Rumors Using Time Series of Social Context Information on Microblogging Websites [PDF]
    Jing Ma, Wei Gao, Zhongyu Wei, Yueming Lu, and Kam-Fai Wong
    CIKM 2015: The 24th ACM International Conference on Information and Knowledge Management, October 2015, Melbourne, Australia.

  • UIR-PKU: Twitter-OpinMiner System for Sentiment Analysis in Twitter at SemEval 2015 [PDF]
    Xu Han, Binyang Li, Jing Ma, Yuxiao Zhang, Gaoyan Ou, Tengjiao Wang, Kam-fai Wong
    SemEval 2015: The 9th International Workshop on Semantic Evaluation, May 2015, Denver, Colorado, USA.  

Before 2015