From syntactic structure to semantic relationship: hypernym extraction from definitions by recurrent neural networks using the part of speech information
December 07, 2020 ยท Declared Dead ยท ๐ International Workshop on the Semantic Web
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Authors
Yixin Tan, Xiaomeng Wang, Tao Jia
arXiv ID
2012.03418
Category
cs.CL: Computation & Language
Cross-listed
cs.AI
Citations
11
Venue
International Workshop on the Semantic Web
Last Checked
5 months ago
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.
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