Combined approach to hypernym detection for thesaurus enrichment

Abstract

© 2020 ABBYY PRODUCTION LLC. All rights reserved. This paper describes a combined approach to hypernym detection task. The approach combines the following techniques: distribution semantics, rule-based patterns, and modern neural networks (BERT). An important feature of our solution is that hypernyms are extracted only from a single text collection provided by the organizers. The described approach obtained the fourth result on the private nouns track. It was found out that the use of the rule-based patterns can significantly improve the results. Also, using the BERT model as an additional factor always helps to improve the performance.