COLING 2020main16 citations
Studying Taxonomy Enrichment on Diachronic WordNet Versions
Irina Nikishina, Varvara Logacheva, Alexander Panchenko, Natalia Loukachevitch
Abstract
Ontologies, taxonomies, and thesauri have always been in high demand in a large number of NLP tasks. However, most studies are focused on the creation of lexical resources rather than the maintenance of the existing ones and keeping them up-to-date. In this paper, we address the problem of taxonomy enrichment. Namely, we explore the possibilities of taxonomy extension in a resource-poor setting and present several methods which are applicable to a large number of languages. We also create novel English and Russian datasets for training and evaluating taxonomy enrichment systems and describe a technique of creating such datasets for other languages.
BibTeX
@inproceedings{nikishina-etal-2020-studying,
title = "Studying Taxonomy Enrichment on Diachronic {W}ord{N}et Versions",
author = "Nikishina, Irina and
Logacheva, Varvara and
Panchenko, Alexander and
Loukachevitch, Natalia",
editor = "Scott, Donia and
Bel, Nuria and
Zong, Chengqing",
booktitle = "Proceedings of the 28th International Conference on Computational Linguistics",
month = dec,
year = "2020",
address = "Barcelona, Spain (Online)",
publisher = "International Committee on Computational Linguistics",
url = "https://aclanthology.org/2020.coling-main.276/",
doi = "10.18653/v1/2020.coling-main.276",
pages = "3095--3106"
}