About

As of September 2018, I am an Applied Scientist at Microsoft working on intelligent tools for Office. My interests are in natural language processing and machine learning. I graduated with a Ph.D. in Computer Science from the University of Illinois at Urbana-Champaign, where I was advised by Julia Hockenmaier. My PhD research 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 an 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]

Thesis

Textual Entailment from Image Caption Denotations
PhD Thesis, 2018
Advised by Julia Hockenmaier
Committee: Katrin Erk, Dan Roth, ChengXiang Zhai