Document Structure Measure for Hypernym discovery
Computation and Language
2018-12-03 v1
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.
Cite
@article{arxiv.1811.12728,
title = {Document Structure Measure for Hypernym discovery},
author = {Aswin Kannan and Shanmukha C Guttula and Balaji Ganesan and Hima P Karanam and Arun Kumar},
journal= {arXiv preprint arXiv:1811.12728},
year = {2018}
}