no code implementations • 24 Jul 2023 • Andrea Bacciu, Florin Cuconasu, Federico Siciliano, Fabrizio Silvestri, Nicola Tonellotto, Giovanni Trappolini
The emergence of large language models (LLMs) has revolutionized machine learning and related fields, showcasing remarkable abilities in comprehending, generating, and manipulating human language.
1 code implementation • 26 Jun 2023 • Andrea Bacciu, Giovanni Trappolini, Andrea Santilli, Emanuele Rodolà, Fabrizio Silvestri
This paper presents Fauno, the first and largest open-source Italian conversational Large Language Model (LLM).
no code implementations • 1 Jun 2023 • Francesco Caso, Giovanni Trappolini, Andrea Bacciu, Pietro Liò, Fabrizio Silvestri
It is recognized as the preferred lens through which to study complex systems, offering a framework that can untangle their intricate dynamics.
no code implementations • 18 May 2023 • Andrea Bacciu, Federico Siciliano, Nicola Tonellotto, Fabrizio Silvestri
Sequential Recommender Systems (SRSs) are a popular type of recommender system that learns from a user's history to predict the next item they are likely to interact with.
1 code implementation • 6 Oct 2021 • Danilo Avola, Andrea Bacciu, Luigi Cinque, Alessio Fagioli, Marco Raoul Marini, Riccardo Taiello
Over the last year, the severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) and its variants have highlighted the importance of screening tools with high diagnostic accuracy for new illnesses such as COVID-19.
1 code implementation • NAACL 2021 • Simone Conia, Andrea Bacciu, Roberto Navigli
While cross-lingual techniques are finding increasing success in a wide range of Natural Language Processing tasks, their application to Semantic Role Labeling (SRL) has been strongly limited by the fact that each language adopts its own linguistic formalism, from PropBank for English to AnCora for Spanish and PDT-Vallex for Czech, inter alia.
1 code implementation • 1 Jul 2019 • Andrea Bacciu, Massimo La Morgia, Alessandro Mei, Eugenio Nerio Nemmi, Valerio Neri, Julinda Stefa
In this work, we present our approach for the Author Profiling task of PAN 2019.
1 code implementation • CLEF 2019 • Andrea Bacciu, Massimo La Morgia, Alessandro Mei, Eugenio Nerio Nemmi, Valerio Neri, Julinda Stefa
Being able to identify the author of an unknown text is crucial.