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 ๐Ÿ› International Workshop on the Semantic Web

๐Ÿ‘ป CAUSE OF DEATH: Ghosted
No code link whatsoever

"No code URL or promise found in abstract"

Evidence collected by the PWNC Scanner

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.
Community shame:
Not yet rated
Community Contributions

Found the code? Know the venue? Think something is wrong? Let us know!

๐Ÿ“œ Similar Papers

In the same crypt โ€” Computation & Language

๐ŸŒ… ๐ŸŒ… Old Age

Attention Is All You Need

Ashish Vaswani, Noam Shazeer, ... (+6 more)

cs.CL ๐Ÿ› NeurIPS ๐Ÿ“š 166.0K cites 9 years ago

Died the same way โ€” ๐Ÿ‘ป Ghosted