Bokhari-WSD: Context Based Multimodal Word Sense Disambiguation

FARAZ, HASAN and Mohammad, Ubaidullah Bokhari and SYED HAMID, HASAN (2014) Bokhari-WSD: Context Based Multimodal Word Sense Disambiguation. In: Second International Conference on Advances in Computing, Electronics and Electrical Technology - CEET 2014, 20 - 21 December, 2014, Kuala Lumpur, Malaysia.

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Word Sense Disambiguation (WSD) is one of the core challenging area for researchers since several decades and it plays a crucial role in all natural language processing (NLP) applications viz. Information Retrieval, Information Extraction, Question Answering, Text Mining, Machine Translation etc. Researchers defined WSD as to identify the actual meaning of a word based on the context in which it occurs. Whereas in linguistic, context is defined as the text in which a word or passage appears and which helps ascertain its meaning. Hence, context of a word depends on different part of speech (POS) of a sentence i.e. Noun, Verb, pronoun, adjective and adverb. This paper proposes a novel approach for context based word sense disambiguation using soft sense disambiguation, map-reduce, knowledge based multimodal algorithm and WordNet.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Word Sense Disambiguation; Multimodal Word Sense Disambiguation, Soft Sense Disambiguation, Natural Language Processing; Computational Linguistic; Knowledge Based Measure; WordNet
Depositing User: Mr. John Steve
Date Deposited: 26 Apr 2019 04:34
Last Modified: 26 Apr 2019 04:34

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