Word Sense Disambiguation : Methods and Algorithms
Dr. Rakesh Kumar*, Assistant professor at Department of computer science in Asssam University, silchar, Assam.
Manuscript received on April 05, 2020. | Revised Manuscript received on April 25, 2020. | Manuscript published on April 30, 2020. | PP: 81-83 | Volume-9 Issue-4, April 2020. | Retrieval Number: D6696049420/2020©BEIESP | DOI: 10.35940/ijeat.D6696.049420
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: This paper discuss various technique of word sense disambiguation. In WSD we disambiguate the correct sense of target word present in the text. WSD is a challenging field in the natural language processing, it helps in information retrieval, information extraction, machine learning. There are two approaches for WSD machine learning approach and knowledge based approach. In Knowledge based approach a external resource is used to help in disambiguation process, but in Machine learning approach a corpus is used whether it is annotated, un-annotated or both.
Keywords: Natural Language processing, machine learning, knowledge based learning, word sense disambiguation.