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Michele Mastromattei

2 accepted papers

2023

Exploring Linguistic Properties of Monolingual BERTs with Typological Classification among Languages

EMNLP 2023long findings

The impressive achievements of transformers force NLP researchers to delve into how these models represent the underlying structure of natural language. In this paper, we propose a novel standpoint to investigate the above issue: using typological similarities among languages to observe how their re…

Cited by 0SourceScholar
2022

Lacking the Embedding of a Word? Look it up into a Traditional Dictionary

ACL 2022findings

Word embeddings are powerful dictionaries, which may easily capture language variations. However, these dictionaries fail to give sense to rare words, which are surprisingly often covered by traditional dictionaries. In this paper, we propose to use definitions retrieved in traditional dictionaries…

Cited by 17SourcePDFScholar