Fiche du document
3 septembre 2021
- doi: 10.4000/books.aaccademia.8745
- eisbn: 9791280136336
https://www.openedition.org/12554 , info:eu-repo/semantics/openAccess
Mots-clés
Computational Linguistics Fine-grained sentiment analysis Distributional Semantics Quantitative Linguistic Investigations Gender Bias Depression from Social Media Online Hate Speech Automatic Sarcasm Detection TrAVaSI AriEmozione AEREST COVID-19 Linguistic Ostracism in Social Networks Multilingual NLU E3C Project DistilBERT Twitter during Pandemic LAN000000 Linguistics CBXSujets proches
Support systems, Social Networking, Social Networks, Social Social networking Social support systems Formal semantics Semasiology Semiology (Semantics) Competence Papers Linguistics--Data processing Language and languages--Data processing Language data processing Natural language processing (Linguistics) Automatic language processing Linguistic science Science of language Sarcasm Bias Internet hate speech User-generated media Methods of analysis Analysis and chemistry Analytical methods Chemical analysis Analysis methods Analysis and examination Networks, SocialCiter ce document
Alessio Miaschi et al., « Italian Transformers Under the Linguistic Lens », Accademia University Press, ID : 10.4000/books.aaccademia.8745
Métriques
Partage / Export
Résumé
In this paper we present an in-depth investigation of the linguistic knowledge encoded by the transformer models currently available for the Italian language. In particular, we investigate whether and how using different architectures of probing models affects the performance of Italian transformers in encoding a wide spectrum of linguistic features. Moreover, we explore how this implicit knowledge varies according to different textual genres.