Past events

The University of Minnesota will be closed (floating holiday).

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The University of Minnesota will be closed in observance of Christmas Day.

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The University of Minnesota will be closed (floating holiday).

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The last day of the fall 2021 semester is Wednesday, December 22.

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Have all your questions about the Master of Science in Software Engineering (MSSE) program answered by attending this online information session.

RSVP now to reserve your spot.

Attendees will be sent a link prior to the event.
 

Final exams for fall 2021 will be held between Thursday, December 16 and Wednesday, December 22.

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The last day of instruction for the fall 2021 semester is Wednesday, December 15.

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The computer science colloquium for Monday, December 13 has been canceled.

The Minnesota Natural Language Processing (NLP) Seminar is a venue for faculty, postdocs, students, and anyone else interested in theoretical, computational, and human-centric aspects of natural language processing to exchange ideas and foster collaboration. The talks are every other Friday from 12 p.m. - 1 p.m. during the Fall 2021 semester.

This week's speaker, Katie Stasaski (University of California, Berkeley), will be giving a talk titled "Diversity-Informed Dialogue Generation."

Abstract

Automated generation of conversational dialogue often produces uninteresting, predictable responses; this is known as the diversity problem. We introduce a new strategy to address this problem, called Diversity-Informed Data Collection (DIDC). Unlike prior approaches, which modify model architectures to solve the problem, this method uses dynamically computed corpus-level statistics to determine which conversational participants to collect data from. DIDC produces significantly more diverse data than baseline data collection methods and produces better results on two downstream tasks. This method is generalizable and can be used with other corpus-level metrics.

Biography

Katie Stasaski is a 6th year Ph.D. student at UC Berkeley, advised by Marti Hearst. She is interested in the intersection of natural language processing and education. Her past work has dealt specifically with increasing diversity of dialogue systems and generating complex questions. She is fortunate to be funded by an NSF GRFP and a Chancellor's Fellowship, in addition to an Amazon Machine Learning Research Award.

Have all your questions about the Master of Science in Software Engineering (MSSE) program answered by attending this online information session.

RSVP now to reserve your spot.

Attendees will be sent a link prior to the event.