Join us as Rachel Rudinger, PhD Candidate at Johns Hopkins University, presents "Natural Language Understanding for Events and Participants in Text."
In this talk, Rudinger will discuss her work on developing state-of-the-art NLP models that make essential inferences about events (e.g., a “watering” event) and participants (e.g., “Pat” and “the plants”) in natural language sentences. In particular, she will focus on two supervised NLP tasks that serve as core tests of language understanding: Event Factuality Prediction and Semantic Proto-Role Labeling. She will also discuss my work on unsupervised acquisition of common-sense knowledge from large natural language text corpora, and the concomitant challenge of detecting problematic social biases in NLP models trained on such data.
Refreshments at 10:00am
Monday, April 1 at 10:30 a.m. to 11:30 a.m.