The TempEval challenge: identifying temporal relations in text |
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| Authors: | Marc Verhagen Robert Gaizauskas Frank Schilder Mark Hepple Jessica Moszkowicz James Pustejovsky |
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| Affiliation: | (1) Brandeis University, Waltham, MA, USA;(2) University of Sheffield, Sheffield, South Yorkshire, England, UK;(3) Thomson Reuters Corporation, New York, NY, USA |
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| Abstract: | TempEval is a framework for evaluating systems that automatically annotate texts with temporal relations. It was created in the context of the SemEval 2007 workshop and uses the TimeML annotation language. The evaluation consists of three subtasks of temporal annotation: anchoring an event to a time expression in the same sentence, anchoring an event to the document creation time, and ordering main events in consecutive sentences. In this paper we describe the TempEval task and the systems that participated in the evaluation. In addition, we describe how further task decomposition can bring even more structure to the evaluation of temporal relations. |
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| Keywords: | TimeML Temporal annotation Temporal relations Information extraction Evaluation Corpus creation |
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