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...
Guardado en:
Autores principales: | Marco Polignano, Valerio Basile, Pierpaolo Basile, Marco de Gemmis, Giovanni Semeraro |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Accademia University Press
2019
|
Materias: | |
Acceso en línea: | https://doaj.org/article/eb4a26589b8b4dbdab87d69f1f47c8d7 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Entity Linking for the Semantic Annotation of Italian Tweets
por: Pierpaolo Basile, et al.
Publicado: (2016) -
Analyzing Gaussian distribution of semantic shifts in Lexical Semantic Change Models
por: Pierluigi Cassotti, et al.
Publicado: (2020) -
“Contro L’Odio”: A Platform for Detecting, Monitoring and Visualizing Hate Speech against Immigrants in Italian Social Media
por: Arthur T. E. Capozzi, et al.
Publicado: (2020) -
Bi-directional LSTM-CNNs-CRF for Italian Sequence Labeling and Multi-Task Learning
por: Pierpaolo Basile, et al.
Publicado: (2017) -
Temporal Random Indexing: A System for Analysing Word Meaning over Time
por: Annalina Caputo, et al.
Publicado: (2015)