LEXpander: Applying colexification networks to automated lexicon expansion.

ABSTRACT: Recent approaches to text analysis from social media and other corpora rely on word lists to detect topics, measure meaning, or to select relevant documents. These lists are often generated by applying computational lexicon expansion methods to small, manually curated sets of seed words. Despite the wide use of this approach, we still lack an exhaustive comparative analysis of the performance of lexicon expansion methods and how they can be improved with additional linguistic data. In this work, we present LEXpander, a method for lexicon expansion that leverages novel data on colexification, i.e., semantic networks connecting words with multiple meanings according to shared senses. We evaluate LEXpander in a benchmark including widely used methods for lexicon expansion based on word embedd

SUBMITTER: Di Natale A 

PROVIDER: S-EPMC10000354 | biostudies-literature | 2024 Feb

REPOSITORIES: biostudies-literature