Discovering Hypernymy in Text-Rich Heterogeneous Information Network by Exploiting Context Granularity

Yu Shi
Yu Shi
Yuchen Li
Yuchen Li
Naijing Zhang
Naijing Zhang
Zhengzhi Lou
Zhengzhi Lou
Matthew Walker
Matthew Walker
Myunghwan Kim
Myunghwan Kim

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, pp. 599-608, 2019.

Cited by: 3|Bibtex|Views25|Links
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Keywords:
distributional inclusion hypothesis heterogeneous information network hypernymy discovery text-rich network

Abstract:

Text-rich heterogeneous information networks (text-rich HINs) are ubiquitous in real-world applications. Hypernymy, also known as is-a relation or subclass-of relation, lays in the core of many knowledge graphs and benefits many downstream applications. Existing methods of hypernymy discovery either leverage textual patterns to extract ex...More

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