SemEval-2007 task 04
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TL;DR
An evaluation task designed to provide a framework for comparing different approaches to classifying semantic relations between nominals in a sentence as part of SemEval, the 4th edition of the semantic evaluation event previously known as SensEval.
Abstract
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.
