Derek Tam

dt [dot] derek [dot] tam [at] gmail.com
http://github.com/dptam


I am a Ph.D. student at UNC Chapel Hill working with Prof Colin Raffel and Prof Mohit Bansal . I am interested in continual learning, multi-task learning, learning from limited data for NLP. I spent the summers of 2021 interning at Amazon with Dr. Prashant Mathur.

Publications

  • Prosody-Aware Neural Machine Translation for Dubbing
    Derek Tam, Surafel M. Lakew, Yogesh Virkar, Prashant Mathur, Marcello Federico
    Arxiv June 2021.
    [arXiv]
  • Improving and Simplifying Pattern Exploiting Training
    Derek Tam* , Rakesh R Menon*, Mohit Bansal, Shashank Srivastava, Colin Raffel
    Empirical Methods in Natural Language Processing (EMNLP) November 2021.
    [arXiv] [code]
  • An Empirical Survey of Data Augmentation for Limited Data Learning in NLP
    Jiaao Chen*, Derek Tam* , Colin Raffel, Mohit Bansal, Diyi Yang
    Arxiv June 2021.
    [arXiv]
  • Predicting Institution Hierarchies with Set-based Models.
    Derek Tam, Nicholas Monath, Ari Kobren, Andrew McCallum
    Automated Knowledge Base Construction (AKBC) May 2020.
    [code]
  • Optimal Transport-based Alignment of Learned Character Representations for String Similarity. (Oral Presentation)
    Derek Tam, Nicholas Monath, , Ari Kobren., Aaron Traylor, Rajarshi Das, Andrew McCallum
    Association of Computational Linguistics (ACL) July 2019.
    [arXiv][code]

About Me

Previously, I worked in Prof Andrew McCallum`s Information and Extraction Synthesis lab while receiving a M.S. in Computer Science at the University of Massachusetts Amherst. Before that, I received a B.S. in Computer Science and Statistics from Carnegie Mellon University.