Distinguishing lexical relations has been a long term pursuit in natural language processing (NLP) domain. Recently, in order to detect lexical relations like hypernymy, meronymy, co-hyponymy etc., distributional semantic models are being used extensively in some form or the other. Even though a lot of efforts have been made for detecting hypernymy relation, the problem of co-hyponymy detection has been rarely investigated. In this paper, we are proposing a novel supervised model where various network measures have been utilized to identify co-hyponymy relation with high accuracy performing better or at par with the state-of-the-art models.
@article{arxiv.1802.04609,
title = {Network Features Based Co-hyponymy Detection},
author = {Abhik Jana and Pawan Goyal},
journal= {arXiv preprint arXiv:1802.04609},
year = {2018}
}