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Joining automatic query expansion based on thesaurus and word sense disambiguation using WordNet

机译:使用词网加入基于词库和词义消歧的自动查询扩展

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摘要

The selection of the most appropriate sense of an ambiguous word in a certain context is one of the main problems in Information Retrieval (IR). For this task, it is usually necessary to count on a semantic source, that is, linguistic resources like dictionaries, thesaurus, etc. Using a methodology based on simulation under a vector space model, we show that the use of automatic query expansion and disambiguation of the sense of the words permits to improve retrieval effectiveness. As shown in our experiments, query expansion; is not able by itself to improve retrieval. However, when it is combined with Word Sense Disambiguation (WSD), that is, when the correct meaning of a word is chosen from among all its possible variations, it leads to effectiveness improvements.
机译:在特定上下文中选择最合适的歧义词是信息检索(IR)的主要问题之一。对于此任务,通常必须依靠语义源,即字典,同义词库等语言资源。使用矢量空间模型下基于仿真的方法,我们证明了自动查询扩展和消歧的使用词义的改进可以提高检索效率。如我们的实验所示,查询扩展;本身无法改善检索。但是,将其与单词歧义消除(WSD)结合使用时,即从所有可能的变体中选择单词的正确含义时,会导致有效性提高。

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