Homonymy and Polysemy in Information Retrieval
Homonymy and Polysemy in Information Retrieval
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信息检索中的同音异义和一词多义
DOI：
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发表时间：
1997
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通讯作者：
Robert Krovetz
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作者：
Robert Krovetz
本文讨论了信息检索系统中词义判别的研究。我们进行了实验，有三个证据来源，使这些区别：形态，词性，和短语。我们集中讨论了同音异义和一词多义（无关意义和相关意义）之间的区别。我们的研究结果支持区分同音异义和一词多义的必要性。我们发现：1）对形态变体进行分组显著提高了检索性能，2）词典中词性不同的所有单词中有一半以上在意义上是相关的，以及3）将信用分配给短语的组成词是至关重要的。这些实验提供了更好的理解基于词的方法，并建议在自然语言处理可以提供检索性能的进一步改善。
This paper discusses research on distinguishing word meanings in the context of information retrieval systems. We conducted experiments with three sources of evidence for making these distinctions: morphology, part-of-speech, and phrases. We have focused on the distinction between homonymy and polysemy (unrelated vs. related meanings). Our results support the need to distinguish homonymy and polysemy. We found: 1) grouping morphological variants makes a significant improvement in retrieval performance, 2) that more than half of all words in a dictionary that differ in part-of-speech are related in meaning, and 3) that it is crucial to assign credit to the component words of a phrase. These experiments provide better understanding of word-based methods, and suggest where natural language processing can provide further improvements in retrieval performance.