Research Interests

Discourse Relation Parsing, Sentiment Analysis, Generation, Relation Extraction, Deep Learning.


Education

July, 2016 - Present
Ph.D Candidate, Department of Computational Linguistics and Phonetics, Saarland University, Saarbrücken, Germany.
Advisor: Prof. Dr. Vera Demberg.

Sept., 2013 - June, 2016
M.Sc, Computer Science, Institute of Automation, Chinese Academy of Sciences, Beijing, China.
Advisor: Prof. Dr. Hongwei Hao and Prof. Dr. Bo Xu

Sept., 2008 - June, 2012
B.Eng, Automation, Department of Power and Mechanical Engineering, Wuhan University, Hubei, China.


Publications

Next Sentence Prediction helps Implicit Discourse Relation Classification within and across Domains (to appear)
Wei Shi and Vera Demberg
In Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP 2019), November 3-7, 2019, Hong Kong, China

A Hybrid Model for Globally Coherent Story Generation. [paper]
Fangzhou Zhai, Vera Demberg, Pavel Shkadzko, Wei Shi and Asad Sayeed
In Proceedings of the 2nd workshop of Storytelling (StoryNLP@ACL2019), page 34-45, Aug 1, 2019, Florence, Italy

Acquiring Annotated Data with Cross-lingual Explicitation for Implicit Discourse Relation Classification. [paper]
Wei Shi, Frances Yung and Vera Demberg
In Proceedings of Discourse Relation Parsing and Treebanking (DISRPT@NAACL-2019), page 12-21, June 6, 2019, Minneapolis, USA

Learning to Explicitate Connectives with Seq2Seq Network for Implicit Discourse Relation Classification. [paper]
Wei Shi and Vera Demberg
In Proceedings of the 13th International Conference on Computational Semantics (IWCS-2019), page 188-199, May 23-27, 2019, Gothenburg, Sweden

Using Explicit Discourse Relation Connectives in Translation for Implicit Discourse Relation Classification. [paper] [data]
Wei Shi, Frances Yung, Raphael Rubino and Vera Demberg
In Proceedings of the 8th International Joint Conference on Natural Language Processing (IJCNLP-2017), page 484-495, Novermber 27- December 1, 2017, Taipei, Taiwan

On the Need of Cross Validation for Discourse Relation Classification. [paper]
Wei Shi and Vera Demberg
In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics (EACL-2017), page 150-156, April 3-7, 2017, Valencia, Spain.

Attention-based Bidirectional Long Short-term Memory Networks for Relation Classification. [paper]
Peng Zhou, Wei Shi, Jun Tian, Zhenyu Qi, Bingchen Li, Hongwei Hao, and Bo Xu.
In Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (ACL-2016), page 207-212, August 07-12, 2016, Berlin, Germany.


Professional Activities

PC member of IEEE TCSS, CoNLL-2018, 2019, NAACL-HLT-2019, ACL-2019 etc.






Last updated: 14-Aug-2019