Federico Ruggeri

Orcid: 0000-0002-1697-8586

According to our database1, Federico Ruggeri authored at least 25 papers between 2019 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

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

The CLEF-2024 CheckThat! Lab: Check-Worthiness, Subjectivity, Persuasion, Roles, Authorities, and Adversarial Robustness.
Proceedings of the Advances in Information Retrieval, 2024

Multimodal Fallacy Classification in Political Debates.
Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

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

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

A Dataset of Argumentative Dialogues on Scientific Papers.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
ArgSciChat: A Dataset for Argumentative Dialogues on Scientific Papers.
CoRR, 2022

Detecting and explaining unfairness in consumer contracts through memory networks.
Artif. Intell. Law, 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

Hybrid Offline/Online Optimization for Energy Management via Reinforcement Learning.
Proceedings of the Integration of Constraint Programming, Artificial Intelligence, and Operations Research, 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
MemBERT: Injecting Unstructured Knowledge into BERT.
CoRR, 2021

Tree-Constrained Graph Neural Networks For Argument Mining.
CoRR, 2021

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

2020
Memory networks for consumer protection: unfairness exposed.
CoRR, 2020

Explaining Potentially Unfair Clauses to the Consumer with the CLAUDETTE tool.
Proceedings of the Natural Legal Language Processing Workshop 2020 co-located with the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD 2020), 2020

2019
Deep Learning for Detecting and Explaining Unfairness in Consumer Contracts.
Proceedings of the Legal Knowledge and Information Systems, 2019


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