A Systematic Analysis of Various Word Sense Disambiguation Approaches

• Ganesh, Chandra ^[1] ; Dwivedi, Sanjay K. ^[2] ; Verma, Satya Bhushan ^[3] ; Dixit, Manish ^[1]
  1. [1] Department of Computer Science & Engineering, Madhav Institute of Technology & Science (Deemed University), Gwalior, M.P, India
  2. [2] Department of Computer Science, Babasaheb Bhimrao Ambedkar (A Central) University, Lucknow, UP, India
  3. [3] Computer Science & Engineering, Shri Ramswaroop Memorial University Lucknow Deva Road, Barabanki, India, 225003

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• Localización: ADCAIJ: Advances in Distributed Computing and Artificial Intelligence Journal, ISSN-e 2255-2863, Vol. 13, Nº. 1, 2024
• Idioma: inglés
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  • The process of finding the correct sense of a word in context is known as word sense disambiguation (WSD). In the field of natural language processing, WSD has become a growing research area. Over the decades, so many researchers have proposed the many approaches to WSD. A development of this field has created the significant impact on several Web-based applications such as information retrieval and information extraction. This paper contains the description of various approaches such as knowledge-based, supervised, unsupervised and semi-supervised. This paper also describes the various applications of WSD, such as information retrieval, machine translation, speech recognition, computational advertising, text processing, classification of documents and biometrics.