Document Structure Measure for Hypernym discovery

November 30, 2018 ยท Declared Dead ยท ๐Ÿ› arXiv.org

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Authors Aswin Kannan, Shanmukha C Guttula, Balaji Ganesan, Hima P Karanam, Arun Kumar arXiv ID 1811.12728 Category cs.CL: Computation & Language Citations 0 Venue arXiv.org Last Checked 6 months ago
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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