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From syntactic structure to semantic relationship: hypernym extraction from definitions by recurrent neural networks using the part of speech information

2020-12-07 02:18:49
Yixin Tan, Xiaomeng Wang, Tao Jia
arXiv_AI
         
Abstract

The hyponym-hypernym relation is an essential element in the semantic network. Identifying the hypernym from a definition is an important task in natural language processing and semantic analysis. While a public dictionary such as WordNet works for common words, its application in domain-specific scenarios is limited. Existing tools for hypernym extraction either rely on specific semantic patterns or focus on the word representation, which all demonstrate certain limitations.

Abstract (translated)

URL

https://arxiv.org/abs/2012.03418

PDF

https://arxiv.org/pdf/2012.03418.pdf

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