[Colloquium] Chu/MS Presentation/May 26, 2017

[Margaret Jaffey via Colloquium]

This is an announcement of Zewei Chu's MS Presentation.

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Date:  Friday, May 26, 2017

Time:  11:00 AM

Place:  Ryerson 276

M.S. Candidate:  Zewei Chu

M.S. Paper Title: Broad Context Language Modeling with Reading
Comprehension

Abstract:
Progress in text understanding has been driven by large datasets that
test particular capabilities, like recent datasets for reading
comprehension. We focus here on the LAMBADA dataset, a word prediction
task requiring broader context than the immediate sentence. We view
LAMBADA as a reading comprehension problem and apply comprehension
models based on neural networks. Though these models are constrained
to choose a word from the context, they improve the state of the art
on LAMBADA from 7.3% to 49%. We analyze 100 instances, finding that
neural network readers perform well in cases that involve selecting a
name from the context based on dialogue or discourse cues but struggle
when coreference resolution or external knowledge is needed.

Zewei's advisor is Prof. Risi Kondor

Login to the Computer Science Department website for details:
 https://www.cs.uchicago.edu/phd/ms_announcements#zeweichu

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Margaret P. Jaffey            margaret at cs.uchicago.edu
Department of Computer Science
Student Support Rep (Ry 156)               (773) 702-6011
The University of Chicago      http://www.cs.uchicago.edu
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