Context-Based Text-Graph Embeddings in Word-Sense Induction Tasks-Reference-Cited by-同舟云学术

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Context-Based Text-Graph Embeddings in Word-Sense Induction Tasks

Published:2022 Issue: Volume: Page:68-81
ISSN:1865-0929
Container-title:Communications in Computer and Information Science
language:
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Author:

Sherstyuk Leonid,Makarov Ilya^ORCID

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-15168-2_7

Reference32 articles.

1. A., K.S.: Large Explanatory Dictionary of Russian [Bol’shoy Tolkoviy Slovar’ Russkogo Yazika]. Norint (2014)

2. Agirre, E., et al.: Two graph-based algorithms for state-of-the-art WSD. In: Proceedings of the CEMNLP 2006, pp. 585–593. ACL, USA (2006)

3. Andrews, P., Pane, J.: Sense induction in folksonomies: a review. Artif. Intell. Rev. 40(2), 147–174 (2013)

4. Biemann, C.: Chinese whispers - an efficient graph clustering algorithm and its application to natural language processing problems. In: Proceedings of TG, pp. 73–80. ACL, New York City (2006)

5. Chang, H.S., et al.: Efficient graph-based word sense induction by distributional inclusion vector embeddings. arXiv preprint arXiv:1804.03257 (2018)

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2. Co-occurrence Networks for Word Sense Induction;2023 IEEE 21st World Symposium on Applied Machine Intelligence and Informatics (SAMI);2023-01-19

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