From syntactic structure to semantic relationship: hypernym extraction from definitions by recurrent neural networks using the part of speech information
Computation and Language
2020-12-08 v1 Artificial Intelligence
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.
Keywords
Cite
@article{arxiv.2012.03418,
title = {From syntactic structure to semantic relationship: hypernym extraction from definitions by recurrent neural networks using the part of speech information},
author = {Yixin Tan and Xiaomeng Wang and Tao Jia},
journal= {arXiv preprint arXiv:2012.03418},
year = {2020}
}