645 citations · 740 across the 9 of their papers we have counts for
10 papers
Challenging the Abilities of Large Language Models in Italian: a Community Initiative
Malvina Nissim, Danilo Croce, Viviana Patti +78
The rapid progress of Large Language Models (LLMs) has transformed natural language processing and broadened its impact across research and society. Yet, systematic evaluation of t…
A Chatbot for Asylum-Seeking Migrants in Europe
Bettina Fazzinga, Elena Palmieri, Margherita Vestoso +4
We present ACME: A Chatbot for asylum-seeking Migrants in Europe. ACME relies on computational argumentation and aims to help migrants identify the highest level of protection they…
Promoting the Responsible Development of Speech Datasets for Mental Health and Neurological Disorders Research
Eleonora Mancini, Ana Tanevska, Andrea Galassi +3
Current research in machine learning and artificial intelligence is largely centered on modeling and performance evaluation, less so on data collection. However, recent research de…
A Corpus for Sentence-level Subjectivity Detection on English News Articles
Francesco Antici, Andrea Galassi, Federico Ruggeri +5
We develop novel annotation guidelines for sentence-level subjectivity detection, which are not limited to language-specific cues. We use our guidelines to collect NewsSD-ENG, a co…
LEXTREME: A Multi-Lingual and Multi-Task Benchmark for the Legal Domain
Joel Niklaus, Veton Matoshi, Pooja Rani +3
Lately, propelled by the phenomenal advances around the transformer architecture, the legal NLP field has enjoyed spectacular growth. To measure progress, well curated and challeng…
An Argumentative Dialogue System for COVID-19 Vaccine Information
Bettina Fazzinga, Andrea Galassi, Paolo Torroni
Dialogue systems are widely used in AI to support timely and interactive communication with users. We propose a general-purpose dialogue system architecture that leverages computat…
Multi-Task Attentive Residual Networks for Argument Mining
Andrea Galassi, Marco Lippi, Paolo Torroni
We explore the use of residual networks and neural attention for multiple argument mining tasks. We propose a residual architecture that exploits attention, multi-task learning, an…
An Upper Bound on the Complexity of Tablut
Andrea Galassi
Tablut is a complete-knowledge, deterministic, and asymmetric board game, which has not been solved nor properly studied yet. In this work, its rules and characteristics are presen…
Neural-Symbolic Argumentation Mining: an Argument in Favor of Deep Learning and Reasoning
Andrea Galassi, Kristian Kersting, Marco Lippi +2
Deep learning is bringing remarkable contributions to the field of argumentation mining, but the existing approaches still need to fill the gap toward performing advanced reasoning…
Attention in Natural Language Processing
Andrea Galassi, Marco Lippi, Paolo Torroni
Attention is an increasingly popular mechanism used in a wide range of neural architectures. The mechanism itself has been realized in a variety of formats. However, because of the…