Fri, Sep 14, 2018 @ 03:00 PM - 04:00 PM
Information Sciences Institute
Conferences, Lectures, & Seminars
Speaker: Daniel Fried, UC Berkeley
Talk Title: Pragmatic Models for Generating and Following Grounded Instructions
Series: Natural Language Seminar
Abstract: To generate language, we model what to say, why not also model how listeners will react? We show how pragmatic inference can be used to both generate and interpret natural language instructions for complex, sequential tasks. Our pragmaticsenabled models reason about how listeners will react upon hearing instructions, and reason counterfactually about why speakers produced the instructions they did. We find that this inference procedure improves state of the art listener models at correctly interpreting human instructions and speaker models at generating instructions correctly interpreted by humans in diverse settings, including navigating through real-world indoor environments.
Biography: Daniel Fried is a PhD student at UC Berkeley, working with Dan Klein on grounded semantics and structured prediction in natural language processing. Previously, he received a BS from the University of Arizona and an MPhil from the University of Cambridge. His work has been supported by a Churchill Scholarship, NDSEG Fellowship, Huawei / Berkeley AI Fellowship, and Tencent Fellowship.
Host: Nanyun Peng
More Info: http://nlg.isi.edu/nl-seminar/
WebCast Link: https://bluejeans.com/s/AScm4
Audiences: Everyone Is Invited
Contact: Peter Zamar