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Events for January 26, 2021
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Undergraduate Advisement Drop-in HoursTue, Jan 26, 2021 @ 01:30 PM - 02:30 PM
Thomas Lord Department of Computer Science
Workshops & Infosessions
Do you have a quick question? The CS advisement team will be available for drop-in live chat advisement for declared undergraduate students in our four majors during the spring semester on Tuesdays, Wednesdays, and Thursdays from 1:30pm to 2:30pm Pacific Time. Access the live chat on our website at: https://www.cs.usc.edu/chat/
Location: Online
Audiences: Undergrad
Contact: USC Computer Science
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M.S. Group Advisement
Tue, Jan 26, 2021 @ 03:00 PM - 04:00 PM
Thomas Lord Department of Computer Science
Workshops & Infosessions
This optional group advisement session is for new and continuing M.S. Computer Science students and M.S. students in our Data Science Programs. Access instructions will be emailed to students prior to the session.
Location: Online - Zoom
Audiences: Graduate
Contact: USC Computer Science
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CS Distinguished Lecture: Dan Roth (University of Pennsylvania) - It's Time for Reasoning
Tue, Jan 26, 2021 @ 04:00 PM - 05:20 PM
Thomas Lord Department of Computer Science
Conferences, Lectures, & Seminars
Speaker: Dan Roth, University of Pennsylvania
Talk Title: It's Time for Reasoning
Series: Computer Science Distinguished Lecture Series
Abstract: 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.
Register in advance for this webinar at:
https://usc.zoom.us/webinar/register/WN_DbjnVhUcQG-HIHt6eLQCYQ
After registering, attendees will receive a confirmation email containing information about joining the webinar.
This lecture satisfies requirements for CSCI 591: Research Colloquium.
Biography: Dan Roth is the Eduardo D. Glandt Distinguished Professor at the Department of Computer and Information Science, University of Pennsylvania, and a Fellow of the AAAS, the ACM, AAAI, and the ACL.
In 2017 Roth was awarded the John McCarthy Award, the highest award the AI community gives to mid-career AI researchers. Roth was recognized "for major conceptual and theoretical advances in the modeling of natural language understanding, machine learning, and reasoning."
Roth has published broadly in machine learning, natural language processing, knowledge representation and reasoning, and learning theory, and has developed advanced machine learning based tools for natural language applications that are being used widely. Until February 2017 Roth was the Editor-in-Chief of the Journal of Artificial Intelligence Research (JAIR).
Roth has been involved in several startups; most recently he was a co-founder and chief scientist of NexLP, a startup that leverages the latest advances in Natural Language Processing (NLP), Cognitive Analytics, and Machine Learning in the legal and compliance domains. NexLP was sold to Reveal in 2020.
Prof. Roth received his B.A Summa cum laude in Mathematics from the Technion, Israel, and his Ph.D. in Computer Science from Harvard University in 1995.
Host: Xiang Ren
Webcast: https://usc.zoom.us/webinar/register/WN_DbjnVhUcQG-HIHt6eLQCYQLocation: Online Zoom Webinar
WebCast Link: https://usc.zoom.us/webinar/register/WN_DbjnVhUcQG-HIHt6eLQCYQ
Audiences: Everyone Is Invited
Contact: Computer Science Department
