DESDE SU REACTIVACIÓN EN
4. METODOLOGÍA DE OBTENCIÓN Y ANÁLISIS DE DATOS
4.1. CREACIÓN DE BASE DE DATOS
In this paper, we surveyed past research associated with WSD. Both the knowledge-based and corpus-based techniques have been discussed. We also discussed the open issues in WSD research.
REFERENCES
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34. Hindi Sense annotated Dataset http://www.tdil-dc.in/index.php?option=com_ download&task=showresource Details&toolid=1472&lang=en
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36. Satyendr Singh, Vivek Kumar Singh, Tanveer J. Siddiqui, Hindi Word Sense Disambiguation using Semantic Relatedness measure, In Proceedings of 7th Multi-Disciplinary Workshop on Artificial Intelligence (MIWAI 2013), 9-11 Dec. 2013, Krabi, Thailand, pages 247-256, LNCS, Springer, 2013.
37. Satyendr Singh, Tanveer J. Siddiqui, Suneel K. Sharma, Naïve Bayes classifier for Hindi Word Sense Disambiguation, In Proceedings of 7th ACM India Compute Conference (Compute'14), Nagpur, India, 9 – 11 October, 2014, Article No. 1, ACM, 2014.
38. Satyendr Singh, Tanveer J. Siddiqui, Role of Semantic Relations in Hindi Word Sense Disambiguation, In Proceedings of the International Conference on Information and Communication Technologies (ICICT 2014), Kochi, India, 3-5 December, 2014, Elsevier Procedia Computer Science, Volume 46, Pages 1-1834,2015.
Aryabhatta Journal of Mathematics & Informatics Vol. 7, No. 2, July-Dec., 2015 ISSN (Print) : 0975-7139
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