About

I am a Ph.D. student in Computer Science at the University of Illinois at Urbana-Champaign. I am advised by Julia Hockenmaier. My interests are in natural language processing and machine learning. My PhD research has focused on how to tackle semantic tasks like textual entailment using image caption denotations.

I was a research intern at Grammarly with Joel Tetreault in 2017, and a intern in the A9 Product Search group in 2016. I graduated from the University of Pittsburgh in 2012 with a B.S. in Computer Science and a B.A. in Japanese.

Publications

Discourse Coherence in the Wild: A Dataset, Evaluation, and Methods
Alice Lai and Joel Tetreault
SIGDIAL 2018
[Data] [Supplementary Material]

Natural Language Inference from Multiple Premises
Alice Lai, Yonatan Bisk, and Julia Hockenmaier
IJCNLP 2017
[Code] [Data]

Learning to Predict Denotational Probabilities For Modeling Entailment
Alice Lai and Julia Hockenmaier
EACL 2017
[Code] [Data]

Illinois-LH: A Denotational and Distributional Approach to Semantics
Alice Lai and Julia Hockenmaier
SemEval 2014

From image description to visual denotations: New similarity metrics for semantic inference over event descriptions
Peter Young, Alice Lai, Micah Hodosh, and Julia Hockenmaier
TACL, Vol. 2
[Code] [Data]