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Discovering word senses from a network of lexical cooccurrences

机译:从词汇共现网络中发现词义

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Lexico-semantic networks such as WordNet have been criticized about the nature of the senses they distinguish as well as on the way they define these senses. In this article, we present a possible solution to overcome these limits by defining the sense of words from the way they are used. More precisely, we propose to differentiate the senses of a word from a network of lexical cooccurrences built from a large corpus. This method was tested both for French and English and was evaluated for English by comparing its results with WordNet.
机译:诸如WordNet之类的词汇语义网络已被批评区分它们的感觉的性质以及定义这些感觉的方式。在本文中,我们提出了一种可能的解决方案,通过定义单词的使用方式来克服这些限制。更确切地说,我们建议从大型语料库构建的词汇共现网络中区分单词的含义。通过法语和英语对该方法进行了测试,并通过将其结果与WordNet进行了比较对英语进行了评估。

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