Word Sense Disambiguation for Hindi Language Using Neural Network

Author:

Mishra Binod Kumar,Jain Suresh

Publisher

Springer Nature Switzerland

Reference37 articles.

1. Agre, G., Petrov, D., Keskinova, S.: A new approach to the supervised word sense disambiguation. In: International Conference on Artificial Intelligence: Methodology, Systems, and Applications, pp. 3–15 (2018)

2. Banerjee, S., Pedersen, T.: Extended gloss overlaps as a measure of semantic relatedness. Ijcai 3, 805–810 (2003)

3. Banerjee, S., Pedersen, T., Gelbukh, A.: An Adapted Lesk Algorithm for Word Sense Disambiguation Using WordNet, pp. 136–145 (2002)

4. Basile, P., Caputo, A., Semeraro, G.: An enhanced lesk word sense disambiguation algorithm through a distributional semantic model. In: Proceedings of COLING 2014, the 25th International Conference on Computational Linguistics: Technical Papers, pp. 1591–1600 (2014)

5. Bhattacharyya, P.: Indowordnet. In: Lexical Resources Engineering Conference 2010 (lrec2010), Malta, May (2010)

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