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Creators/Authors contains: "Maudslay, R"

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  1. Calzolari, N; Kan, M; Hoste, V; Lenci, A; Sakti, S; Xue, N (Ed.)
    The senses of a word exhibit rich internal structure. In a typical lexicon, this structure is overlooked: A word`s senses are encoded as a list, without inter-sense relations. We present ChainNet, a lexical resource which for the first time explicitly identifies these structures, by expressing how senses in the Open English Wordnet are derived from one another. In ChainNet, every nominal sense of a word is either connected to another sense by metaphor or metonymy, or is disconnected (in the case of homonymy). Because WordNet senses are linked to resources which capture information about their meaning, ChainNet represents the first dataset of grounded metaphor and metonymy. 
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