Data di Pubblicazione:
2024
Abstract:
Understanding the relation between the meaning of words is an important part of comprehending natural language.
Prior work has either focused on analysing lexical semantic relations in word embeddings or probing pretrained
language models (PLMs), with some exceptions. Given the rarity of highly multilingual benchmarks, it is unclear to
what extent PLMs capture relational knowledge and are able to transfer it across languages. To start addressing this question, we propose MultiLexBATS, a multilingual parallel dataset of lexical semantic relations adapted from BATS in 15 languages including low-resource languages, such as Bambara, Lithuanian, and Albanian. As experiment on cross-lingual transfer of relational knowledge, we test the PLMs' ability to (1) capture analogies across languages, and (2) predict translation targets. We find considerable differences across relation types and languages with a clear preference for hypernymy and antonymy as well as romance languages.
Prior work has either focused on analysing lexical semantic relations in word embeddings or probing pretrained
language models (PLMs), with some exceptions. Given the rarity of highly multilingual benchmarks, it is unclear to
what extent PLMs capture relational knowledge and are able to transfer it across languages. To start addressing this question, we propose MultiLexBATS, a multilingual parallel dataset of lexical semantic relations adapted from BATS in 15 languages including low-resource languages, such as Bambara, Lithuanian, and Albanian. As experiment on cross-lingual transfer of relational knowledge, we test the PLMs' ability to (1) capture analogies across languages, and (2) predict translation targets. We find considerable differences across relation types and languages with a clear preference for hypernymy and antonymy as well as romance languages.
Tipologia CRIS:
4.1 Contributo in Atti di convegno
Elenco autori:
Gromann, Dagmar; Goncalo Oliveira, Hugo; Pitarch, Lucia; Apostol, Elena-Simona; Bernad, Jordi; Bytyçi, Eliot; Cantone, Chiara; Carvalho, Sara; Frontini, Francesca; Garabik, Radovan; Gracia, Jorge; Granata, Letizia; Khan, Fahad; Knez, Timotej; Labropoulou, Penny; Liebeskind, Chaya; di Buono, Maria Pia; Ostroški Anić, Ana; Rackevičienė, Sigita; Rodrigues, Ricardo; Sérasset, Gilles; Selmistraitis, Linas; Sidibé, Mahammadou; Silvano, Purificação; Spahiu, Blerina; Sogutlu, Enriketa; Stanković, Ranka; Truică, Ciprian-Octavian; Valūnaitė Oleškevičienė, Giedrė; Zitnik and Katerina Zdravkova, Slavko
Link alla scheda completa:
Titolo del libro:
Proceedings of LREC-Coling 2024