AlBERTo: Modeling Italian Social Media Language with BERT
Natural Language Processing tasks recently achieved considerable interest and progresses following the development of numerous innovative artificial intelligence models released in recent years. The increase in available computing power has made possible the application of machine learning approache...
Enregistré dans:
Auteurs principaux: | Marco Polignano, Valerio Basile, Pierpaolo Basile, Marco de Gemmis, Giovanni Semeraro |
---|---|
Format: | article |
Langue: | EN |
Publié: |
Accademia University Press
2019
|
Sujets: | |
Accès en ligne: | https://doaj.org/article/eb4a26589b8b4dbdab87d69f1f47c8d7 |
Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
-
Entity Linking for the Semantic Annotation of Italian Tweets
par: Pierpaolo Basile, et autres
Publié: (2016) -
Analyzing Gaussian distribution of semantic shifts in Lexical Semantic Change Models
par: Pierluigi Cassotti, et autres
Publié: (2020) -
“Contro L’Odio”: A Platform for Detecting, Monitoring and Visualizing Hate Speech against Immigrants in Italian Social Media
par: Arthur T. E. Capozzi, et autres
Publié: (2020) -
Bi-directional LSTM-CNNs-CRF for Italian Sequence Labeling and Multi-Task Learning
par: Pierpaolo Basile, et autres
Publié: (2017) -
Temporal Random Indexing: A System for Analysing Word Meaning over Time
par: Annalina Caputo, et autres
Publié: (2015)