Word Sense Disambiguation for Indic Language using Bi-LSTM

Author:

Mishra Binod KumarORCID,Jain Suresh

Publisher

Springer Science and Business Media LLC

Reference52 articles.

1. Navigli R (2009) Word sense disambiguation: A survey. ACM computing surveys (CSUR) 41(2):1–69

2. Wilks Y, Slator BM, Guthrie LM (1996) Electric words: dictionaries, computers, and meanings. MIT Press

3. de Lacalle OL, Agirre E (2015) A methodology for word sense disambiguation at 90% based on large-scale crowdsourcing. In: Proceedings of the Fourth Joint Conference on Lexical and Computational Semantics

4. Raganato, A., J. Camacho-Collados, and R. Navigli. Word sense disambiguation: A unified evaluation framework and empirical comparison. in Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers. 2017.

5. Malviya, S., R. Mishra, and U.S. Tiwary. Structural analysis of Hindi phonetics and a method for extraction of phonetically rich sentences from a very large Hindi text corpus. in 2016 Conference of The Oriental Chapter of International Committee for Coordination and Standardization of Speech Databases and Assessment Techniques (O-COCOSDA). 2016. IEEE.

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