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SemEval-2007 task 15

TempEval temporal relation identification

descriptionPublicationkeyboard_double_arrow_right Article 01 Jan 2007Publisher:Association for Computational Linguistics (ACL)Journal:Proceedings of the 4th International Workshop on Semantic Evaluations - SemEval '07

Authors: Robert Gaizauskas; Graham Katz; Frank Schilder; Mark Hepple; Marc Verhagen; James Pustejovsky;

doi: 10.3115/1621474.1621488

SemEval-2007 task 15

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Abstract

The TempEval task proposes a simple way to evaluate automatic extraction of temporal relations. It avoids the pitfalls of evaluating a graph of inter-related labels by defining three sub tasks that allow pairwise evaluation of temporal relations. The task not only allows straightforward evaluation, it also avoids the complexities of full temporal parsing.

Related Organizations

University of Sheffield
United Kingdom
Stanford University
United States
Brandeis University
United States

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Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	170
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Top 1%
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Top 1%
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Top 10%