Andrea Galassi

Orcid: 0000-0001-9711-7042

According to our database1, Andrea Galassi authored at least 33 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Bibliography

2024
Disruptive situation detection on public transport through speech emotion recognition.
Intell. Syst. Appl., March, 2024

2023
Multi-Task Attentive Residual Networks for Argument Mining.
IEEE ACM Trans. Audio Speech Lang. Process., 2023

A Corpus for Sentence-level Subjectivity Detection on English News Articles.
CoRR, 2023

LEXTREME: A Multi-Lingual and Multi-Task Benchmark for the Legal Domain.
CoRR, 2023

Argumentation Structure Prediction in CJEU Decisions on Fiscal State Aid.
Proceedings of the Nineteenth International Conference on Artificial Intelligence and Law, 2023

LEXTREME: A Multi-Lingual and Multi-Task Benchmark for the Legal Domain.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

On the Definition of Prescriptive Annotation Guidelines for Language-Agnostic Subjectivity Detection.
Proceedings of Text2Story, 2023

The CLEF-2023 CheckThat! Lab: Checkworthiness, Subjectivity, Political Bias, Factuality, and Authority.
Proceedings of the Advances in Information Retrieval, 2023

Inception Models for Fashion Image Captioning: An Extensive Study on Multiple Datasets.
Proceedings of the Experimental IR Meets Multilinguality, Multimodality, and Interaction, 2023

Overview of the CLEF-2023 CheckThat! Lab: Task 2 on Subjectivity Detection.
Proceedings of the Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2023), 2023

Overview of the CLEF-2023 CheckThat! Lab on Checkworthiness, Subjectivity, Political Bias, Factuality, and Authority of News Articles and Their Source.
Proceedings of the Experimental IR Meets Multilinguality, Multimodality, and Interaction, 2023

2022
A privacy-preserving dialogue system based on argumentation.
Intell. Syst. Appl., 2022

Predicting Outcomes of Italian VAT Decisions.
Proceedings of the Legal Knowledge and Information Systems, 2022

AMICA: An Argumentative Search Engine for COVID-19 Literature.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Multimodal Argument Mining: A Case Study in Political Debates.
Proceedings of the 9th Workshop on Argument Mining, 2022

Detecting Arguments in CJEU Decisions on Fiscal State Aid.
Proceedings of the 9th Workshop on Argument Mining, 2022

Combining WordNet and Word Embeddings in Data Augmentation for Legal Texts.
Proceedings of the Natural Legal Language Processing Workshop, 2022

2021
Deep Networks and Knowledge: from Rule Learning to Neural-Symbolic Argument Mining.
PhD thesis, 2021

Attention in Natural Language Processing.
IEEE Trans. Neural Networks Learn. Syst., 2021

An Upper Bound on the Complexity of Tablut.
CoRR, 2021

SubjectivITA: An Italian Corpus for Subjectivity Detection in Newspapers.
Proceedings of the Experimental IR Meets Multilinguality, Multimodality, and Interaction, 2021

An Argumentative Dialogue System for COVID-19 Vaccine Information.
Proceedings of the Logic and Argumentation - 4th International Conference, 2021

A Preliminary Evaluation of a Privacy-Preserving Dialogue System.
Proceedings of the Fifth Workshop on Natural Language for Artificial Intelligence (NL4AI 2021) co-located with 20th International Conference of the Italian Association for Artificial Intelligence (AI*IA 2021), 2021

A Corpus for Multilingual Analysis of Online Terms of Service.
Proceedings of the Natural Legal Language Processing Workshop 2021, 2021

2020
Cross-lingual Annotation Projection in Legal Texts.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

2019
HABITAT: An IoT Solution for Independent Elderly.
Sensors, 2019

Neural-Symbolic Argumentation Mining: An Argument in Favor of Deep Learning and Reasoning.
Frontiers Big Data, 2019

Neural-Symbolic Argumentation Mining: an Argument in Favour of Deep Learning and Reasoning.
CoRR, 2019

Attention, please! A Critical Review of Neural Attention Models in Natural Language Processing.
CoRR, 2019

2018
Can Deep Networks Learn to Play by the Rules? A Case Study on Nine Men's Morris.
IEEE Trans. Games, 2018

Model Agnostic Solution of CSPs via Deep Learning: A Preliminary Study.
Proceedings of the Integration of Constraint Programming, Artificial Intelligence, and Operations Research, 2018

Argumentative Link Prediction using Residual Networks and Multi-Objective Learning.
Proceedings of the 5th Workshop on Argument Mining, 2018

2017
A Game-Based Competition as Instrument for Teaching Artificial Intelligence.
Proceedings of the AI*IA 2017 Advances in Artificial Intelligence, 2017


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