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2005
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Context-based similar words detection and its application in specialized search engines

11 years 7 months ago
Context-based similar words detection and its application in specialized search engines
This paper presents a new context-based method for automatic detection and extraction of similar and related words from texts. Finding similar words is a very important task for many NLP applications including anaphora resolution, document retrieval, text segmentation, and text summarization. Here we use word similarity to improve search quality for search engines in (general and) specific domains. Our method is based on rules for extracting the words in the neighborhood of a target word, then connecting this with the surroundings of other occurrences of the same word in the (training) text corpus. This is an on-going work, and is still under extensive testing. The preliminary results, however, are promising and encouraging more work in this direction. Keywords Word-similarity detection, information retrieval
Hisham Al-Mubaid, Ping Chen
Added 26 Jun 2010
Updated 26 Jun 2010
Type Conference
Year 2005
Where IUI
Authors Hisham Al-Mubaid, Ping Chen
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