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Summary: Temporal Information Extraction
Xiao Ling and Daniel S. Weld
Department of Computer Science and Engineering
University of Washington
Seattle, WA 98195-2350, U.S.A.
{xiaoling, weld}@cs.washington.edu
Abstract
Research on information extraction (IE) seeks to distill re-
lational tuples from natural language text, such as the con-
tents of the WWW. Most IE work has focussed on identi-
fying static facts, encoding them as binary relations. This
is unfortunate, because the vast majority of facts are fluents,
only holding true during an interval of time. It is less helpful
to extract PresidentOf(Bill-Clinton, USA) with-
out the temporal scope 1/20/93 - 1/20/01. This paper
presents TIE, a novel, information-extraction system, which
distills facts from text while inducing as much temporal in-
formation as possible. In addition to recognizing temporal
relations between times and events, TIE performs global in-
ference, enforcing transitivity to bound the start and ending
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