Oana Cocarascu

According to our database, Oana Cocarascu authored at least 37 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

The Automated Verification of Textual Claims (AVeriTeC) Shared Task.

Michael Schlichtkrull, Yulong Chen, Chenxi Whitehouse, Zhenyun Deng, Mubashara Akhtar, Rami Aly, Zhijiang Guo, Christos Christodoulopoulos, Oana Cocarascu, Arpit Mittal, James Thorne, Andreas Vlachos

CoRR, 2024

Argumentation and Machine Learning.

Antonio Rago, Kristijonas Cyras, Jack Mumford, Oana Cocarascu

CoRR, 2024

Towards Dialogues for Joint Human-AI Reasoning and Value Alignment.

Elfia Bezou-Vrakatseli, Oana Cocarascu, Sanjay Modgil

CoRR, 2024

EthiX: A Dataset for Argument Scheme Classification in Ethical Debates.

Elfia Bezou-Vrakatseli, Oana Cocarascu, Sanjay Modgil

Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

ChartCheck: Explainable Fact-Checking over Real-World Chart Images.

Mubashara Akhtar, Nikesh Subedi, Vivek Gupta, Sahar Tahmasebi, Oana Cocarascu, Elena Simperl

Proceedings of the Findings of the Association for Computational Linguistics, 2024

Identifying Reasons for Bias: An Argumentation-Based Approach.

Madeleine Waller, Odinaldo Rodrigues, Oana Cocarascu

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Investigating the Legality of Bias Mitigation Methods in the United Kingdom.

Mackenzie Jorgensen, Madeleine Waller, Oana Cocarascu, Natalia Criado, Odinaldo Rodrigues, Jose Such, Elizabeth Black

IEEE Technol. Soc. Mag., December, 2023

ChartCheck: An Evidence-Based Fact-Checking Dataset over Real-World Chart Images.

Mubashara Akhtar, Nikesh Subedi, Vivek Gupta, Sahar Tahmasebi, Oana Cocarascu, Elena Simperl

CoRR, 2023

Bias Mitigation Methods for Binary Classification Decision-Making Systems: Survey and Recommendations.

Madeleine Waller, Odinaldo Rodrigues, Oana Cocarascu

CoRR, 2023

Multimodal Automated Fact-Checking: A Survey.

Mubashara Akhtar, Michael Schlichtkrull, Zhijiang Guo, Oana Cocarascu, Elena Simperl, Andreas Vlachos

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Exploring the Numerical Reasoning Capabilities of Language Models: A Comprehensive Analysis on Tabular Data.

Mubashara Akhtar, Abhilash Reddy Shankarampeta, Vivek Gupta, Arpit Patil, Oana Cocarascu, Elena Simperl

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Reading and Reasoning over Chart Images for Evidence-based Automated Fact-Checking.

Mubashara Akhtar, Oana Cocarascu, Elena Simperl

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023

Recommendations for Bias Mitigation Methods: Applicability and Legality.

Madeleine Waller, Odinaldo Rodrigues, Oana Cocarascu

Proceedings of the 1st Workshop on Fairness and Bias in AI co-located with 26th European Conference on Artificial Intelligence (ECAI 2023), 2023

2022

Reasoning and interaction for social artificial intelligence.

Elizabeth Black, Martim Brandão, Oana Cocarascu, Bart de Keijzer, Yali Du, Derek Long, Michael Luck, Peter McBurney, Albert Meroño-Peñuela, Simon Miles, Sanjay Modgil, Luc Moreau, Maria Polukarov, Odinaldo Rodrigues, Carmine Ventre

AI Commun., 2022

PubHealthTab: A Public Health Table-based Dataset for Evidence-based Fact Checking.

Mubashara Akhtar, Oana Cocarascu, Elena Simperl

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

Towards an Argument Scheme Classification for Ethical Reasoning.

Elfia Bezou-Vrakatseli, Oana Cocarascu, Sanjay Modgil

Proceedings of the 22nd Workshop on Computational Models of Natural Argument, 2022

A Robustness Evaluation Framework for Argument Mining.

Mehmet Sofi, Matteo Fortier, Oana Cocarascu

Proceedings of the 9th Workshop on Argument Mining, 2022

Mining Property-driven Graphical Explanations for Data-centric AI from Argumentation Frameworks.

Oana Cocarascu, Kristijonas Cyras, Antonio Rago, Francesca Toni

Proceedings of the Human-Like Machine Intelligence., 2022

2021

An Explanatory Query-Based Framework for Exploring Academic Expertise.

Oana Cocarascu, Andrew McLean, Paul French, Francesca Toni

CoRR, 2021

Automatic Product Ontology Extraction from Textual Reviews.

Joel Oksanen, Oana Cocarascu, Francesca Toni

CoRR, 2021

Argumentative explanations for interactive recommendations.

Antonio Rago, Oana Cocarascu, Christos Bechlivanidis, David A. Lagnado, Francesca Toni

Artif. Intell., 2021

FEVEROUS: Fact Extraction and VERification Over Unstructured and Structured information.

Rami Aly, Zhijiang Guo, Michael Sejr Schlichtkrull, James Thorne, Andreas Vlachos, Christos Christodoulopoulos, Oana Cocarascu, Arpit Mittal

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

2020

A Dataset Independent Set of Baselines for Relation Prediction in Argument Mining.

Oana Cocarascu, Elena Cabrio, Serena Villata, Francesca Toni

CoRR, 2020

Explanation via Machine Arguing.

Oana Cocarascu, Antonio Rago, Francesca Toni

Proceedings of the Reasoning Web. Declarative Artificial Intelligence, 2020

Argumentation as a Framework for Interactive Explanations for Recommendations.

Antonio Rago, Oana Cocarascu, Christos Bechlivanidis, Francesca Toni

Proceedings of the 17th International Conference on Principles of Knowledge Representation and Reasoning, 2020

Data-Empowered Argumentation for Dialectically Explainable Predictions.

Oana Cocarascu, Andria Stylianou, Kristijonas Cyras, Francesca Toni

Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

Dataset Independent Baselines for Relation Prediction in Argument Mining.

Oana Cocarascu, Elena Cabrio, Serena Villata, Francesca Toni

Proceedings of the Computational Models of Argument, 2020

2019

Generating argumentation frameworks from text.

Oana Cocarascu

PhD thesis, 2019

Extracting Dialogical Explanations for Review Aggregations with Argumentative Dialogical Agents.

Oana Cocarascu, Antonio Rago, Francesca Toni

Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019

2018

Combining Deep Learning and Argumentative Reasoning for the Analysis of Social Media Textual Content Using Small Data Sets.

Oana Cocarascu, Francesca Toni

Comput. Linguistics, 2018

Argumentation-Based Recommendations: Fantastic Explanations and How to Find Them.

Antonio Rago, Oana Cocarascu, Francesca Toni

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

The Fact Extraction and VERification (FEVER) Shared Task.

James Thorne, Andreas Vlachos, Oana Cocarascu, Christos Christodoulopoulos, Arpit Mittal

Proceedings of the First Workshop on Fact Extraction and VERification, 2018

2017

Mining Bipolar Argumentation Frameworks from Natural Language Text.

Oana Cocarascu, Francesca Toni

Proceedings of the 17th Workshop on Computational Models of Natural Argument co-located with ICAIL 2017, 2017

Identifying attack and support argumentative relations using deep learning.

Oana Cocarascu, Francesca Toni

Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

2016

Detecting deceptive reviews using Argumentation.

Oana Cocarascu, Francesca Toni

Proceedings of the 1st International Workshop on AI for Privacy and Security, 2016

A System for Supporting the Detection of Deceptive Reviews Using Argument Mining.

Oana Cocarascu, Francesca Toni

Proceedings of the Computational Models of Argument, 2016

Argumentation for Machine Learning: A Survey.

Oana Cocarascu, Francesca Toni

Proceedings of the Computational Models of Argument, 2016