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How 'BERTology' Changed the State-of-the-Art also for Italian NLP
- Source :
- CLiC-it
- Publication Year :
- 2021
- Publisher :
- Accademia University Press, 2021.
-
Abstract
- The use of contextualised word embeddings allowed for a relevant performance increase for almost all Natural Language Processing (NLP) applications. Recently some new models especially developed for Italian became available to scholars. This work aims at evaluating the impact of these models in enhancing application performance for Italian establishing the new state-of-the-art for some fundamental NLP tasks.
- Subjects :
- Computer science
AriEmozione
Contextualised word embeddings, Italian, Evaluation, Natural Language Processing
computer.software_genre
Online Hate Speech
CBX
Multilingual NLU
Twitter during Pandemic
Automatic Sarcasm Detection
Linguistic Ostracism in Social Networks
business.industry
COVID-19
Linguistics
LAN000000
Quantitative Linguistic Investigations
Fine-grained sentiment analysis
Computational Linguistics
DistilBERT
Depression from Social Media
Distributional Semantics
Gender Bias
AEREST
E3C Project
TrAVaSI
State (computer science)
Artificial intelligence
business
computer
Natural language processing
Subjects
Details
- Language :
- English
- Database :
- OpenAIRE
- Journal :
- CLiC-it
- Accession number :
- edsair.doi.dedup.....8ee991782b2ea6c70fdddd2dca800386