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Topic
CS Distinguished Lecture: Dan Roth (University of Pennsylvania) - It’s Time for Reasoning
Description
The fundamental issue underlying natural language understanding is that of semantics – there is a need to move toward understanding natural language at an appropriate level of abstraction in order to support natural language understanding and communication with computers.
Machine Learning has become ubiquitous in our attempt to induce semantic representations of natural language and support decisions that depend on it; however, while we have made significant progress over the last few years, it has focused on classification tasks for which we have large amounts of annotated data. Supporting high level decisions that depend on natural language understanding is still beyond our capabilities, partly since most of these tasks are very sparse and generating supervision signals for it does not scale.
I will discuss some of the challenges underlying reasoning – making natural language understanding decisions that depend on multiple, interdependent, models, and exemplify it using the domain of Reasoning about Time, as it is expressed in natural language.
This lecture satisfies requirements for CSCI 591: Research Colloquium.
Time
Jan 26, 2021 04:00 PM in
Pacific Time (US and Canada)
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Cristina Fong
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Hi there, You are invited to a Zoom webinar. When: Jan 26, 2021 04:00 PM Pacific Time (US and Canada) Topic: CS Distinguished Lecture: Dan Roth (University of Pennsylvania) - It’s Time for Reasoning Register in advance for this webinar: https://usc.zoom.us/webinar/register/WN_DbjnVhUcQG-HIHt6eLQCYQ Or an H.323/SIP room system: H.323: 162.255.37.11 (US West) 162.255.36.11 (US East) 115.114.131.7 (India Mumbai) 115.114.115.7 (India Hyderabad) 213.19.144.110 (Amsterdam Netherlands) 213.244.140.110 (Germany) 103.122.166.55 (Australia Sydney) 103.122.167.55 (Australia Melbourne) 149.137.40.110 (Singapore) 64.211.144.160 (Brazil) 69.174.57.160 (Canada Toronto) 65.39.152.160 (Canada Vancouver) 207.226.132.110 (Japan Tokyo) 149.137.24.110 (Japan Osaka) Meeting ID: 913 1051 2584 SIP: 91310512584@zoomcrc.com After registering, you will receive a confirmation email containing information about joining the webinar.
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