Reasoning in Language Understanding and Generation


Motivations and Objectives

Given a large amount of textual data (e.g., news articles, Wikipedia, weblogs, etc.) available online, it has become increasingly important for techniques that can automatically process this data, for example, to extract event information, to answer user questions, and to make inferences. Along these lines, we are particularly interested in the role of commonsense, discourse and pragmatics in natural language understanding, generation, and applications.

Our thoughts and positions:

Selected Recent Papers

Reasoning with Pretrained Language Models

Physical Commonsense Reasoning

Pragmatic Reasoning and Conversation Entailment

Implicit Arguments in Nominal Semantic Role Labeling