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arXiv · 1811.12728

Document Structure Measure for Hypernym discovery

Aswin Kannan·Shanmukha C Guttula·Balaji Ganesan·Hima P Karanam·Arun Kumar
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Abstract

Hypernym discovery is the problem of finding terms that have is-a relationship with a given term. We introduce a new context type, and a relatedness measure to differentiate hypernyms from other types of semantic relationships. Our Document Structure measure is based on hierarchical position of terms in a document, and their presence or otherwise in definition text. This measure quantifies the document structure using multiple attributes, and classes of weighted distance functions.

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Aswin Kannan, Shanmukha C Guttula, Balaji Ganesan, Hima P Karanam, Arun Kumar. 2018-11-30. Document Structure Measure for Hypernym discovery. https://arxiv.org/abs/1811.12728

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