Graph Convolutional Network for Word Sense Disambiguation

Graph Convolutional Network for Word Sense Disambiguation

Word sense disambiguation (WSD) is an important research topic in natural language processing, which is widely applied to text classification, machine translation, and information retrieval. In order to improve disambiguation accuracy, this paper proposes a WSD method based on the graph convolutiona...

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Bibliographic Details
Main Authors:	Chun-Xiang Zhang, Rui Liu, Xue-Yao Gao, Bo Yu
Format:	Article
Language:	English
Published:	Wiley 2021-01-01
Series:	Discrete Dynamics in Nature and Society
Online Access:	http://dx.doi.org/10.1155/2021/2822126
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