Word sense disambiguation based on context selection using knowledge-based word similarity

作者：

Highlights：

• Propose a new context selection strategy for knowledge-based word sense disambiguation.

• Propose a novel approach to generate knowledge-based word vector representation.

• Significantly higher performance compared with a baseline knowledge-based word sense disambiguation system.

摘要

•Propose a new context selection strategy for knowledge-based word sense disambiguation.•Propose a novel approach to generate knowledge-based word vector representation.•Significantly higher performance compared with a baseline knowledge-based word sense disambiguation system.

论文关键词：Natural language processing,Word sense disambiguation,Knowledge-based word vector representation,Similarity-based word selection

论文评审过程：Received 31 October 2020, Revised 16 January 2021, Accepted 15 February 2021, Available online 4 March 2021, Version of Record 4 March 2021.

论文官网地址：https://doi.org/10.1016/j.ipm.2021.102551