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Events for January 19, 2021

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11:00 AM

CIS Seminar: “Hash Tables Lecture”

January 19 at 11:00 AM - 12:00 PM
Zoom – Email CIS for link, cherylh@cis.upenn.edu + Google Map

Abstract: The lecture that I will cover is going to be on Hash Tables. The lecture is designed for an introductory CS course and/or a data structures course. We are in the last 3rd of the semester when this topic is covered. At this point, students are comfortable with programming (in Python). In addition, they […]

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1:30 PM

BE Doctoral Dissertation Defense: “Magnetic Resonance Imaging Assessment of Maternal Uteroplacental Hemodynamics During Pregnancy” (Eileen Hwuang)

January 19 at 1:30 PM - 3:30 PM

The Department of Bioengineering along with Drs. Walter Witschey and John Detre are pleased to announce the Doctoral Dissertation Defense of Eileen Hwuang. The public is welcome to attend via Zoom. Title: "Magnetic resonance imaging assessment of maternal uteroplacental hemodynamics during pregnancy" Zoom link Meeting ID: 745 723 0989 Passcode: 526101

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3:00 PM

2020 Heilmeier Award Lecture, Dr. Dan Roth

January 19 at 3:00 PM - 4:00 PM

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.

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