A Novel Unsupervısed Graph-Based Algorıthm for Hindi Word Sense Disambiguation-Reference-Cited by-同舟云学术

A Novel Unsupervısed Graph-Based Algorıthm for Hindi Word Sense Disambiguation

Published:2023-09-02 Issue:5 Volume:4 Page:
ISSN:2661-8907
Container-title:SN Computer Science
language:en
Short-container-title:SN COMPUT. SCI.

Author:

Jha Prajna^ORCID,Agarwal Shreya,Abbas Ali,Siddiqui Tanveer J.

Publisher

Springer Science and Business Media LLC

Subject

Computer Science Applications,Computer Networks and Communications,Computer Graphics and Computer-Aided Design,Computational Theory and Mathematics,Artificial Intelligence,General Computer Science

Link

https://link.springer.com/content/pdf/10.1007/s42979-023-02116-1.pdf

Reference30 articles.

1. Jain A, Lobiyal DK. A new approach for unsupervised word sense disambiguation in Hindi language using graph connectivity measures. Int J Artif Intell Soft Comput. 2014;4(4):318–34.

2. Jain A, Lobiyal DK. Fuzzy Hindi WordNet and word sense disambiguation using fuzzy graph connectivity measures. ACM Trans Asian Low-Resour Lang Inf Process. 2015;15(2):1–31.

3. Jain A, Lobiyal DK. Unsupervised Hindi word sense disambiguation based on network agglomeration. In: 2015 2nd International Conference on Computing for Sustainable Global Development (INDIACom). 2015; 195–200.

4. Jain A, Yadav S, Tayal D. Measuring context-meaning for open class words in Hindi language. In:Proc. of 2013 Sixth International Conference on Contemporary Computing (IC3). IEEE. 2013;pp. 118–123.

5. Yarowsky D. Unsupervised word sense disambiguation rivaling supervised methods. In: 33rd annual meeting of the association for computational linguistics. Cambridge. 1995; pp. 189–196

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