Word Sense Disambiguation in Web Content Mining Using Brill's Tagger Technique

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Provided by: International Journal of Computer and Electrical Engineering (IJCEE)
Topic: Big Data
Format: PDF
In recent years, great advances have been made in the speed, accuracy, and coverage of automatic word sense disambiguators - systems that given a word appearing in a certain context, can identify the sense of that word. This research has prompted a number of investigations into the relationship between Information Retrieval (IR) and lexical ambiguity in web mining. Starting with a review of previous research that attempted to improve the representation of documents in IR systems, this research is reassessed in the light of word sense ambiguity.
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