Joining automatic query expansion based on thesaurus and word sense disambiguation using WordNet
Joining automatic query expansion based on thesaurus and word sense disambiguation using WordNet
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使用WordNet加入基于词库的自动查询扩展和词义消歧
DOI：
10.1504/ijcat.2008.022422
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发表时间：
2008
期刊：
影响因子：
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通讯作者：
Carme Fernandez Perez
中科院分区：
文献类型：
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作者：
Francisco João Pinto;Antonio Farina Martinez;Carme Fernandez Perez
歧义词在特定语境中最合适的词义选择是信息检索中的主要问题之一。对于这项任务，通常需要依赖语义源，即词典、辞典等语言资源。使用基于向量空间模型下模拟的方法，我们证明了自动查询扩展和词义消歧的使用允许提高检索效率。实验表明，查询扩展本身并不能提高检索效率。然而，当它与词义消歧(WSD)相结合时，即当从一个单词的所有可能的变体中选择一个单词的正确含义时，它会导致有效性的提高。
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.