I am a sixth-year PhD student in the UW NLP group at the Paul G. Allen School of Computer Science & Engineering at the University of Washington. My advisor is Luke Zettlemoyer.
I work on formal semantics of natural language — in particular, how to design, annotate, and model semantics in a scalable, data-driven way while taking advantage of our understanding of linguistic structure. I have worked on approaches to crowdsourcing annotation for syntactic parsing, semantic role labeling, and predicate-argument structure.
I am heavily involved in the QA-SRL Project, where I build systems for annotating and modeling linguistic structure at large scale. I have released two corpora:
- The QAMR Corpus — over 5,000 sentences annotated with Question-Answer Meaning Representation.
- QA-SRL Bank 2.0 — over 64,000 sentences annotated with Question-Answer Semantic Role Labels.
I am also interested broadly in the Science of AI and NLP, using empirical methods to improve our understanding of intelligent behavior and language use. Along these lines, I have worked on broad-coverage and fine-grained evaluation of models, unsupervised discovery of linguistic structure, and explicitly incorporating ambiguity into task design. See my publications for a full list of my work.
The Theory of Correlation Formulas and their Application to Discourse Coherence
Undergraduate Honors Thesis, UT Austin, 2015
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