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This paper describes the first SemEval task to explore the useof Natural Language Processing systems for building dictionaryentries, in the framework of Corpus Pattern Analysis. CPA is acorpus-driven technique which provides tools and resources toidentify and represent unambiguously the main semantic patternsin which words are used. Task 15 draws on the PatternDictionary of English Verbs (www.pdev.org.uk), for the targetedlexical entries, and on the British National Corpus for theinput text. Dictionary entry building is split into threesubtasks which all start from the same concordance sample: 1)CPA parsing, where arguments and their syntactic and semanticcategories have to be identified, 2) CPA clustering, in whichsentences with similar patterns have to be clustered and 3) CPAautomatic lexicography where the structure of patterns have tobe constructed automatically. Subtask 1 attracted 3 teams,though none could beat the baseline (rule-based system).Subtask 2 attracted 2 teams, one of which beat the baseline(majority-class classifier). Subtask 3 did not attract anyparticipant. The task has produced a major semanticmultidataset resource which includes data for 121 verbs andabout 17,000 annotated sentences, and which is freelyaccessible.

SemEval-2015 Task 15: A CPA dictionary-entry-building task