Zeyu Dai (戴泽宇)

Zeyu

Ph.D. in TAMU NLP group

Email: jzdaizeyu@tamu.edu, jzdaizeyu@gmail.com

Office: HRBB 408F,
CSE Department,
Texas A&M University,
College Station, Texas, USA

Links:
GitHub
LinkedIn
Google Scholar

Welcome to my personal website!

I am a fourth-year Ph.D. student supervised by Prof. Ruihong Huang in the Department of Computer Science and Engineering at Texas A&M University. Before that, I received my B.Eng. degree in Electrical Engineering from Shanghai Jiao Tong University and obtained my MSc degree in Computer Science from the University of Southern California. I enjoy doing research in the fields of Natural Language Processing and Deep Learning.

My research interests lie specifically in the areas of information extraction, discourse parsing, knowledge representation and reasoning. I am working on applying neural network models (including CNN, RNN, Transformer, BERT and Graph-based neural networks) with commonsense knowledge to practical NLP problems and applications.

Publication

  • "A Regularization Approach for Incorporating Event Knowledge and Coreference Relations into Neural Discourse Parsing", in EMNLP-IJCNLP 2019
    Zeyu Dai and Ruihong Huang
    [Paper], [BibTeX]

  • "Coreference Aware Representation Learning for Neural Named Entity Recognition", in IJCAI 2019
    Zeyu Dai, Hongliang Fei and Ping Li
    [Paper], [BibTeX]

  • "Building Context-aware Clause Representations for Situation Entity Type Classification", in EMNLP 2018
    Zeyu Dai and Ruihong Huang
    [Paper], [Code], [BibTeX]

  • "Improving Implicit Discourse Relation Classification by Modeling Inter-dependencies of Discourse Units in a Paragraph", in NAACL-HLT 2018
    Zeyu Dai and Ruihong Huang
    [Paper], [Code], [BibTeX]

  • "Fine-grained Structure-based News Genre Categorization", in Workshop on Events and Stories in the News, COLING 2018
    Zeyu Dai, Himanshu Taneja and Ruihong Huang
    [Paper], [Dataset], [BibTeX]

  • "Using Context Events in Neural Network Models for Event Temporal Status Identification", in IJCNLP 2017
    Zeyu Dai, Wenlin Yao and Ruihong Huang
    [Paper], [BibTeX]

  • "Online Deception Detection Refueled by Real World Data Collection", in RANLP 2017
    Wenlin Yao, Zeyu Dai, Ruihong Huang and James Caverlee
    [Paper], [BibTeX]

Experience

Industry:

  • Research Intern, Baidu Research, Sunnyvale USA, Summer 2018
    Mentors: Hongliang Fei, Ping Li
    Topic: "Coreference Aware Representation Learning for Neural Named Entity Recognition" accepted by IJCAI 2019

Teaching:

  • Teaching Assistant of CSCE625 - Artificial Intelligence, TAMU, Spring 2018
  • Teaching Assistant of CSCE606 - Software Engineering, TAMU, Fall 2017

Service:

  • Program committee/reviewer: ACL (2019), AAAI (2020), NAACL-HLT (2019), EMNLP (2018, 2019)
  • Student volunteer: NAACL-HLT (2018)

Award

Misc

  • I was born in Jingzhou, a city of Hubei province in Central China. My family now move to Chengdu, the hometown of pandas.