Shuguang Chen

Ph.D. student, University of Houston


I'm a 4th-year Ph.D. student in Computer Science at the University of Houston. I work at Research in Text Understanding and Analysis of Language (RiTUAL) lab, supervised by Dr. Thamar Solorio. My research area is based on natural language processing and deep learning. Specifically, I'm interested in tackling the following challenges:

  • Neural sequence labeling on user-generated text
  • Linguistic code-switching on social media data


  • [2021.09]: 1 paper accepted to W-NUT at EMNLP 2021.
  • [2021.08]: 1 paper accepted to EMNLP 2021.
  • [2021.06]: Completed the Build Basic Generative Adversarial Networks (GANs) course in Coursera.
  • [2021.06]: 1 paper accepted to CALCS at NAACL 2021.
  • [2021.05]: Started my internship at Melax Tech.
  • [2021.02]: 1 paper accepted to SocialNLP at NAACL 2021.

Selected Publications

Data Augmentation for Cross-Domain Named Entity Recognition
Shuguang Chen, Gustavo Aguilar, Leonardo Neves, Thamar Solorio
EMNLP 2021
[Paper] [Code]

Workshop Papers

Can images help recognize entities? A study of the role of images for Multimodal NER
Shuguang Chen, Gustavo Aguilar, Leonardo Neves, Thamar Solorio.
W-NUT at EMNLP 2021
[Paper] [Code]

Proceedings of the Fifth Workshop on Computational Approaches to Linguistic Code-Switching
Thamar Solorio, Shuguang Chen, Alan W. Black, Mona Diab, Sunayana Sitaram, Victor Soto, Emre Yilmaz, Anirudh Srinivasan

Mitigating Temporal-Drift: A Simple Approach to Keep NER Models Crisp
Shuguang Chen, Leonardo Neves, Thamar Solorio.
SocialNLP at NAACL 2021
[Paper] [Code]

Preprinted Papers

A Simple Approach to Jointly Rank Passages and Select Relevant Sentences in the OBQA Context
Man Luo, Shuguang Chen, Chitta Baral.
arXiv preprint