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Task #15: TempEval: A proposal for Evaluating Time-Event Temporal Relation Identification
Abstract
Newspaper texts, narratives and other such texts describe events which
occur in time and specify the temporal location and order of these
events. Text comprehension, even at the most general level, involves the
capability to identify the events described in a text and locate these
in time. Thus, we propose an initial evaluation exercise based on three
limited tasks that will drive forward research in the automatic
identification of temporal referring expressions, events and temporal
relations within a text. We specify three separate tasks that involve
identifying event-time and event-event temporal relations. Participants
will receive a modified version of TimeBank (183 documents, approx. 2500
sentences) which has had TimeML annotations removed or modified so as
contain only the information to be supplied in the test corpus.
Organizers
James Pustejovsky
Department of Computer Science, Brandeis University
Robert Gaizauskas
Department of Computer Science, University of Sheffield
Mark Hepple
Department of Computer Science, University of Sheffield
Graham Katz
Institute for Cognitive Science, University of Osnabürck
Frank Schilder
Research & Development, Thomson Legal & Regulatory
Marc Verhagen
Department of Computer Science, Brandeis University
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