Exploring Portuguese Word Embeddings for Discovering Lexical-Semantic Relations

Authors

Abstract

Word2vec-like word embeddings are known for keeping linguistic regularities and thus good for solving analogies. Following this, we explore such embeddings for Portuguese in the discovery of lexical-semantic relations, which can be used for augmenting lexical-semantic knowledge bases. In this exploratory approach, we tested different methods for discovering relations of different types and confirm that word embeddings can be used, at least, for suggesting new candidate relations.

Keywords

Lexical-semantic relations Word embeddings Analogies

Conference

13th International Conference on the Computational Processing of the Portuguese Language (PROPOR 2020), February 2020

DOI