2007 SemEval2007Task04ClassifOfSemRelsBetNominals

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Subject Headings: SemEval-1 Task 4, Relation Recognition from Text Task


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The NLP community has shown a renewed interest in deeper semantic analyses, among them automatic recognition of relations between pairs of words in a text. We present an evaluation task designed to provide a framework for comparing different approaches to classifying semantic relations between nominals in a sentence. This is part of SemEval, the 4th edition of the semantic evaluation event previously known as SensEval. We define the task, describe the training/test data and their creation, list the participating systems and discuss their results. There were 14 teams who submitted 15 systems.


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 AuthorvolumeDate ValuetitletypejournaltitleUrldoinoteyear
2007 SemEval2007Task04ClassifOfSemRelsBetNominalsPeter D. Turney
Roxana Girju
Vivi Nastase
Preslav Nakov
Stan Szpakowicz
Deniz Yuret
SemEval-2007 Task 04: Classification of Semantic Relations between NominalsProceedings of the Fourth International Workshop on Semantic Evaluationshttp://acl.ldc.upenn.edu/W/W07/W07-2003.pdf2007