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Clustering Synonym Sets in English WordNet

机译:聚类英语WordNet中的同义词集

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摘要

A lot of lexical research conducted by experts use existing words in the English Thesaurus. However, the English Thesaurus only gives synonyms of the words searched for and does not provide similarities between words that can be called WordNet. So in this study, a WordNet can be made that can help research that uses databases for English. The similarity between words makes many researchers today are still looking for word relations by manual method, or still use the English Thesaurus. The making of WordNet is expected to be very useful for researchers who want a lexical database for their research, which is currently still relatively small. Therefore it is better to make an English WordNet which will later accommodate words that have the same meaning or Synonym Sets and this WordNet focuses on grouping those words. So that researchers can do lexical research more broadly and unlimitedly with the existence of words that are still unclear in their similarities. Calculation with clustering gets an F1 Score Result at 10.68%, Recall at 8.53% and Precision at 14.28%.
机译:专家进行的许多词汇研究都使用英语词库中的现有单词。但是,英语同义词库仅提供所搜索单词的同义词,而不能提供可称为WordNet的单词之间的相似性。因此,在本研究中,可以创建一个WordNet,它可以帮助使用英语数据库的研究。单词之间的相似性使得当今许多研究人员仍在通过人工方法寻找单词关系,或者仍在使用英语词库。对于希望使用词法数据库进行研究的研究人员来说,WordNet的构建预计将非常有用,该数据库目前仍相对较小。因此,最好制作一个英文WordNet,以便以后容纳具有相同含义或同义词集的单词,并且此WordNet着重于对这些单词进行分组。这样,研究人员就可以通过其相似性仍不清楚的单词的存在来更广泛地,无限地进行词汇研究。聚类计算得出的F1得分结果为10.68%,召回率为8.53%,精度为14.28%。

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