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X-WR-CALNAME:Robust and Indirectly Supervised Information Extraction
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UID:2022-11-14-muhao-chen@cml.ics.uci.edu
DTSTAMP:20221114T000000Z
SEQUENCE:57690
DTSTART;TZID=America/Los_Angeles:20221114T130000
DTEND;TZID=America/Los_Angeles:20221114T140000
SUMMARY:[CML Seminar] Muhao Chen: Robust and Indirectly Supervised Informat
ion Extraction
LOCATION:Donald Bren Hall 4011
DESCRIPTION:Muhao Chen\, Assistant Research Professor of Computer Science\,
University of Southern California\n\nTitle: Robust and Indirectly Supervi
sed Information Extraction\n\nAbstract: Information extraction (IE) is the
process of automatically inducing structures of concepts and relations de
scribed in natural language text. Despite its importance\, obtaining direc
t supervision for IE tasks is difficult\, as it requires expert annotators
to read through long documents and identify complex structures. This talk
covers recent advances that grant robustness against noise and perturbati
on\, prevent systematic errors caused by spurious correlations\, and provi
de indirect supervision for label-efficient and logically consistent IE.\n
\nhttps://cml.ics.uci.edu/seminars/2022-11-14-muhao-chen
X-ALT-DESC;FMTTYPE=text/html:Muhao Chen\, Assistant Rese
arch Professor of Computer Science\, University of Southern California
Title: Robust and Indirectly Supervised Information Extraction<
br>
Abstract: Information extraction (IE) is the process of auto
matically inducing structures of concepts and relations described in natur
al language text. Despite its importance\, obtaining direct supervision fo
r IE tasks is difficult\, as it requires expert annotators to read through
long documents and identify complex structures. This talk covers recent a
dvances that grant robustness against noise and perturbation\, prevent sys
tematic errors caused by spurious correlations\, and provide indirect supe
rvision for label-efficient and logically consistent IE.
https://cml.ics.uci
.edu/seminars/2022-11-14-muhao-chen
URL:https://cml.ics.uci.edu/seminars/2022-11-14-muhao-chen
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