TWE‐WSD: An effective topical word embedding based word sense disambiguation-Reference-Cited by-同舟云学术

TWE‐WSD: An effective topical word embedding based word sense disambiguation

Published:2021-03 Issue:1 Volume:6 Page:72-79
ISSN:2468-2322
Container-title:CAAI Transactions on Intelligence Technology
language:en
Short-container-title:CAAI trans. intell. technol.

Author:

Jia Lianyin¹²,Tang Jilin¹,Li Mengjuan³,You Jinguo¹,Ding Jiaman¹,Chen Yinong⁴

Affiliation:

1. Faculty of Information Engineering and Automation Kunming University of Science and Technology Kunming China

2. Yunnan Key Laboratory of Artificial Intelligence Kunming University of Science and Technology Kunming China

3. Library Yunnan Normal University Kunming China

4. School of Computing, Informatics, and Decision Systems Arizona State University Tempe Arizona USA

Publisher

Institution of Engineering and Technology (IET)

Subject

Artificial Intelligence,Computer Networks and Communications,Computer Vision and Pattern Recognition,Human-Computer Interaction,Information Systems

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/cit2.12006

Reference46 articles.

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3. Neale S. et al.:Word sense‐aware machine translation: including senses as contextual features for improved translation models. In: Proceedings of the Tenth International Conference on Language Resources and Evaluation pp.2777–2783(2016)

4. Sense‐based information retrieval using fuzzy logic and swarm intelligence;Hassan A.K.A.;Int. J. Multi, Ubiq. Eng,2017

5. Ruas T. Grosky W.:Keyword extraction through contextual semantic analysis of documents. In: Proceedings of the 9th International Conference on Management of Digital EcoSystems pp.150–156(2017)

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