A SIMPLE SOLUTION FOR THE TAXONOMY ENRICHMENT TASK: DISCOVERING HYPERNYMS USING NEAREST NEIGHBOR SEARCH

Abstract

In this paper, we present the system we used in the Taxonomy Enrichment for the Russian Language evaluation campaign. The goal of this challenge is to predict hypernyms for the words not included in the taxonomy. Our approach was to generate and score candidate hypernyms by word embedding similarity of the input words and concepts already in the taxonomy. Despite being very simple, our system was ranked first on the verbs track.