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pro vyhledávání: '"Venuti, Marco"'
Dispersion relations let us leverage the analytic structure of scattering amplitudes to derive constraints such as bounds on EFT coefficients. An important input is the large-energy behavior of the amplitude. In this paper, we systematically study ho
Externí odkaz:
http://arxiv.org/abs/2310.06888
Akademický článek
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Publikováno v:
Textus; Jan-Apr2024, Issue 1, p7-12, 6p
Publikováno v:
Financial Reporting; 2024, Issue 1, p27-55, 29p
Autor:
Venuti, Marco1
Publikováno v:
Risk Governance & Control: Financial Markets & Institutions. 2023, Vol. 13 Issue 1, p4-6. 3p.
This document provides a detailed presentation of the EmotivITA task, its state of the art, the methodology for evaluating participating systems, and guidelines for participation. Various aspects of sentiment analysis have already been addressed in p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9a8a58e3e5c345530fb2d481dafa2df1
Autor:
Cosentino, Antonietta, Venuti, Marco
Publikováno v:
SIDREA Series in Accounting and Business Administration ISBN: 9783031219313
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fe22f1f2b3731afe7faf4404b33839e1
https://doi.org/10.1007/978-3-031-21932-0_13
https://doi.org/10.1007/978-3-031-21932-0_13
EmotivITA is a task proposed and accepted atthe 2023 edition of Evalita, the most reknowedevaluation campaign for Natural Language Processing (NLP) and speech tools in the Italian language. The subtasks involve dimensional and multidimensional emotio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0a9e2da8b96b72b880d34248d58d4610