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ORCIDAndrea Galassi
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2020 – today
- 2023
[j6]Andrea Galassi
, Marco Lippi, Paolo Torroni:
Multi-Task Attentive Residual Networks for Argument Mining. IEEE ACM Trans. Audio Speech Lang. Process. 31: 1877-1892 (2023)- [c16]Mirko Del Moro, Serban Cristian Tudosie, Francesco Vannoni, Andrea Galassi, Federico Ruggeri:
Inception Models for Fashion Image Captioning: An Extensive Study on Multiple Datasets. CLEF 2023: 3-14 - [c15]Alberto Barrón-Cedeño, Firoj Alam, Andrea Galassi, Giovanni Da San Martino, Preslav Nakov, Tamer Elsayed, Dilshod Azizov, Tommaso Caselli, Gullal S. Cheema, Fatima Haouari, Maram Hasanain, Mücahid Kutlu, Chengkai Li, Federico Ruggeri, Julia Maria Struß, Wajdi Zaghouani:
Overview of the CLEF-2023 CheckThat! Lab on Checkworthiness, Subjectivity, Political Bias, Factuality, and Authority of News Articles and Their Source. CLEF 2023: 251-275 - [c14]Federico Ruggeri, Francesco Antici, Andrea Galassi, Katerina Korre, Arianna Muti, Alberto Barrón-Cedeño:
On the Definition of Prescriptive Annotation Guidelines for Language-Agnostic Subjectivity Detection. Text2Story@ECIR 2023: 103-111 - [c13]Alberto Barrón-Cedeño, Firoj Alam, Tommaso Caselli, Giovanni Da San Martino, Tamer Elsayed, Andrea Galassi, Fatima Haouari, Federico Ruggeri, Julia Maria Struß, Rabindra Nath Nandi, Gullal S. Cheema, Dilshod Azizov, Preslav Nakov:
The CLEF-2023 CheckThat! Lab: Checkworthiness, Subjectivity, Political Bias, Factuality, and Authority. ECIR (3) 2023: 506-517 - [c12]Piera Santin, Giulia Grundler, Andrea Galassi, Federico Galli, Francesca Lagioia, Elena Palmieri, Federico Ruggeri, Giovanni Sartor, Paolo Torroni:
Argumentation Structure Prediction in CJEU Decisions on Fiscal State Aid. ICAIL 2023: 247-256 - [i7]Joel Niklaus, Veton Matoshi, Pooja Rani, Andrea Galassi, Matthias Stürmer, Ilias Chalkidis:
LEXTREME: A Multi-Lingual and Multi-Task Benchmark for the Legal Domain. CoRR abs/2301.13126 (2023) - [i6]Francesco Antici, Andrea Galassi, Federico Ruggeri, Katerina Korre, Arianna Muti, Alessandra Bardi, Alice Fedotova, Alberto Barrón-Cedeño:
A Corpus for Sentence-level Subjectivity Detection on English News Articles. CoRR abs/2305.18034 (2023) - 2022
- [j5]Bettina Fazzinga, Andrea Galassi, Paolo Torroni:
A privacy-preserving dialogue system based on argumentation. Intell. Syst. Appl. 16: 200113 (2022) - [c11]Giulia Grundler, Piera Santin, Andrea Galassi, Federico Galli, Francesco Godano, Francesca Lagioia, Elena Palmieri, Federico Ruggeri, Giovanni Sartor, Paolo Torroni:
Detecting Arguments in CJEU Decisions on Fiscal State Aid. ArgMining@COLING 2022: 143-157 - [c10]Eleonora Mancini, Federico Ruggeri, Andrea Galassi, Paolo Torroni:
Multimodal Argument Mining: A Case Study in Political Debates. ArgMining@COLING 2022: 158-170 - [c9]Marco Lippi, Francesco Antici, Gianfranco Brambilla, Evaristo Cisbani, Andrea Galassi, Daniele Giansanti, Fabio Magurano, Antonella Rosi, Federico Ruggeri, Paolo Torroni:
AMICA: An Argumentative Search Engine for COVID-19 Literature. IJCAI 2022: 5932-5935 - [c8]Federico Galli, Giulia Grundler, Alessia Fidelangeli, Andrea Galassi, Francesca Lagioia, Elena Palmieri, Federico Ruggeri, Giovanni Sartor, Paolo Torroni:
Predicting Outcomes of Italian VAT Decisions. JURIX 2022: 188-193 - 2021
- [b1]Andrea Galassi:
Deep Networks and Knowledge: from Rule Learning to Neural-Symbolic Argument Mining. University of Bologna, Italy, 2021 - [j4]Andrea Galassi, Marco Lippi, Paolo Torroni:
Attention in Natural Language Processing. IEEE Trans. Neural Networks Learn. Syst. 32(10): 4291-4308 (2021) - [c7]Bettina Fazzinga, Andrea Galassi, Paolo Torroni:
A Preliminary Evaluation of a Privacy-Preserving Dialogue System. NL4AI@AI*IA 2021 - [c6]Bettina Fazzinga, Andrea Galassi, Paolo Torroni:
An Argumentative Dialogue System for COVID-19 Vaccine Information. CLAR 2021: 477-485 - [c5]Francesco Antici, Luca Bolognini, Matteo Antonio Inajetovic, Bogdan Ivasiuk, Andrea Galassi, Federico Ruggeri:
SubjectivITA: An Italian Corpus for Subjectivity Detection in Newspapers. CLEF 2021: 40-52 - [i5]Andrea Galassi:
An Upper Bound on the Complexity of Tablut. CoRR abs/2101.11934 (2021) - [i4]Andrea Galassi, Marco Lippi, Paolo Torroni:
Multi-Task Attentive Residual Networks for Argument Mining. CoRR abs/2102.12227 (2021) - [i3]Bettina Fazzinga, Andrea Galassi, Paolo Torroni:
An Argumentative Dialogue System for COVID-19 Vaccine Information. CoRR abs/2107.12079 (2021) - 2020
- [c4]Andrea Galassi, Kasper Drazewski, Marco Lippi, Paolo Torroni:
Cross-lingual Annotation Projection in Legal Texts. COLING 2020: 915-926
2010 – 2019
- 2019
- [j3]Andrea Galassi, Kristian Kersting, Marco Lippi, Xiaoting Shao, Paolo Torroni:
Neural-Symbolic Argumentation Mining: An Argument in Favor of Deep Learning and Reasoning. Frontiers Big Data 2: 52 (2019) - [j2]Elena Borelli, Giacomo Paolini, Francesco Antoniazzi, Marina Barbiroli, Francesca Benassi, Federico Chesani, Lorenzo Chiari, Massimiliano Fantini, Franco Fuschini, Andrea Galassi, Gian Andrea Giacobone, Silvia Imbesi, Melissa Licciardello, Daniela Loreti, Michele Marchi, Diego Masotti, Paola Mello, Sabato Mellone, Giuseppe Mincolelli, Carla Raffaelli, Luca Roffia, Tullio Salmon Cinotti, Carlo Tacconi, Paola Tamburini, Marco Zoli, Alessandra Costanzo:
HABITAT: An IoT Solution for Independent Elderly. Sensors 19(5): 1258 (2019) - [i2]Andrea Galassi, Marco Lippi, Paolo Torroni:
Attention, please! A Critical Review of Neural Attention Models in Natural Language Processing. CoRR abs/1902.02181 (2019) - [i1]Andrea Galassi, Kristian Kersting, Marco Lippi, Xiaoting Shao, Paolo Torroni:
Neural-Symbolic Argumentation Mining: an Argument in Favour of Deep Learning and Reasoning. CoRR abs/1905.09103 (2019) - 2018
- [j1]Federico Chesani, Andrea Galassi, Marco Lippi, Paola Mello:
Can Deep Networks Learn to Play by the Rules? A Case Study on Nine Men's Morris. IEEE Trans. Games 10(4): 344-353 (2018) - [c3]Andrea Galassi, Marco Lippi, Paolo Torroni:
Argumentative Link Prediction using Residual Networks and Multi-Objective Learning. ArgMining@EMNLP 2018: 1-10 - [c2]Andrea Galassi, Michele Lombardi, Paola Mello, Michela Milano:
Model Agnostic Solution of CSPs via Deep Learning: A Preliminary Study. CPAIOR 2018: 254-262 - 2017
- [c1]Federico Chesani, Andrea Galassi, Paola Mello, Giada Trisolini:
A Game-Based Competition as Instrument for Teaching Artificial Intelligence. AI*IA 2017: 72-84
Coauthor Index
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last updated on 2023-09-28 03:34 CEST by the dblp team
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