Zobrazeno 1 - 10
of 146
pro vyhledávání: '"Pierpaolo Basile"'
Publikováno v:
Scientific Data, Vol 8, Iss 1, Pp 1-12 (2021)
Measurement(s) Natural Language • lexical semantic change Technology Type(s) Programming Language • word embeddings • Cosine Distance Method Factor Type(s) time period Machine-accessible metadata file describing the reported data: https://doi.o
Externí odkaz:
https://doaj.org/article/aef5781c2e134598916e709cc378996e
Publikováno v:
IJCoL, Vol 6, Iss 2, Pp 23-36 (2020)
In recent years, there has been a significant increase in interest in lexical semantic change detection. Many are the existing approaches, data used, and evaluation strategies to detect semantic shifts. The classification of change words against stab
Externí odkaz:
https://doaj.org/article/a14bafd2a2e6422bb8ec7fb664f36ebe
Publikováno v:
IJCoL, Vol 5, Iss 2, Pp 11-31 (2019)
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 poss
Externí odkaz:
https://doaj.org/article/eb4a26589b8b4dbdab87d69f1f47c8d7
Publikováno v:
IJCoL, Vol 3, Iss 2, Pp 37-50 (2017)
In this paper, we propose a Deep Learning architecture for several Italian Natural Language Processing tasks based on a state of the art model that exploits both word- and character-level representations through the combination of bidirectional LSTM,
Externí odkaz:
https://doaj.org/article/7d12c46b5d31477aacc399f811980343
Publikováno v:
IJCoL, Vol 3, Iss 1, Pp 93-127 (2017)
EVALITA, the evaluation campaign of Natural Language Processing and Speech Tools for the Italian language, was organised for the fifth time in 2016. Six tasks, covering both re-reruns as well as completely new tasks, and an IBM-sponsored challenge, a
Externí odkaz:
https://doaj.org/article/da7879f6d6ea4c1dbfd03851546e3fd4
Publikováno v:
IJCoL, Vol 2, Iss 1, Pp 87-99 (2016)
Linking entity mentions in Italian tweets to concepts in a knowledge base is a challenging task, due to the short and noisy nature of these short messages and the lack of specific resources for Italian. This paper proposes an adaptation of a general
Externí odkaz:
https://doaj.org/article/8ef44d22af2a4b4eaf544fa37e911a23
Publikováno v:
IJCoL, Vol 1, Iss 1, Pp 61-74 (2015)
During the last decade the surge in available data spanning different epochs has inspired a new analysis of cultural, social, and linguistic phenomena from a temporal perspective. This paper describes a method that enables the analysis of the time ev
Externí odkaz:
https://doaj.org/article/55ce11131f834c728e75e40061bc11a8
Publikováno v:
Applied Sciences, Vol 10, Iss 12, p 4180 (2020)
The availability of large annotated corpora from social media and the development of powerful classification approaches have contributed in an unprecedented way to tackle the challenge of monitoring users’ opinions and sentiments in online social p
Externí odkaz:
https://doaj.org/article/0e390ae9a600456786a577693a5fab06
Publikováno v:
IJCoL, Vol 10, Iss 1
The BLOOM Large Language Model is a cuttingI think that the authors’ way of doing self-training is quite interesting. I suggest writing about self-training in the abstract and generally expose self-training as one of the paper’s contributions.-ed
Externí odkaz:
https://doaj.org/article/ee842d567047494793236901bab328c7
Autor:
Filippo Lorè, Pierpaolo Basile, Annalisa Appice, Marco de Gemmis, Donato Malerba, Giovanni Semeraro
Publikováno v:
Journal of Intelligent Information Systems.
The Italian Public Administration (PA) relies on costly manual analyses to ensure the GDPR compliance of public documents and secure personal data. Despite recent advances in Artificial Intelligence (AI) have benefited many legal fields, the automati