Abstract:
This paper presents a new model of WordNet that is used to disambiguate the correct sense of polysemy word based on the clue words. The related words for each sense of a ...Show MoreMetadata
Abstract:
This paper presents a new model of WordNet that is used to disambiguate the correct sense of polysemy word based on the clue words. The related words for each sense of a polysemy word as well as single sense word are referred to as the clue words. The conventional WordNet organises nouns, verbs, adjectives and adverbs together into sets of synonyms called synsets each expressing a different concept. In contrast to the structure of WordNet, we developed a new model of WordNet that organizes the different senses of polysemy words as well as the single sense words based on the clue words. These clue words for each sense of a polysemy word as well as for single sense word are used to disambiguate the correct meaning of the polysemy word in the given context using knowledge-based Word Sense Disambiguation (WSD) algorithms. The clue word can be a noun, verb, adjective or adverb.
Published in: Proceedings of the 2015 IEEE 9th International Conference on Semantic Computing (IEEE ICSC 2015)
Date of Conference: 07-09 February 2015
Date Added to IEEE Xplore: 02 March 2015
Electronic ISBN:978-1-4799-7935-6