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2020 – today
- 2024
[c23]Madeleine Waller, Odinaldo Rodrigues, Oana Cocarascu:
Identifying Reasons for Bias: An Argumentation-Based Approach. AAAI 2024: 21664-21672- [c22]Mubashara Akhtar, Nikesh Subedi, Vivek Gupta, Sahar Tahmasebi, Oana Cocarascu, Elena Simperl:
ChartCheck: Explainable Fact-Checking over Real-World Chart Images. ACL (Findings) 2024: 13921-13937 - [c21]Elfia Bezou-Vrakatseli, Oana Cocarascu, Sanjay Modgil:
EthiX: A Dataset for Argument Scheme Classification in Ethical Debates. ECAI 2024: 3628-3635 - [e4]Timotheus Kampik, Kristijonas Cyras, Antonio Rago, Oana Cocarascu:
Proceedings of the 2nd International Workshop on Argumentation for eXplainable AI co-located with the 10th International Conference on Computational Models of Argument (COMMA 2024), Hagen, Germany, September 16, 2024. CEUR Workshop Proceedings 3768, CEUR-WS.org 2024 [contents] - [i14]Elfia Bezou-Vrakatseli, Oana Cocarascu, Sanjay Modgil:
Towards Dialogues for Joint Human-AI Reasoning and Value Alignment. CoRR abs/2405.18073 (2024) - [i13]Antonio Rago, Kristijonas Cyras, Jack Mumford, Oana Cocarascu:
Argumentation and Machine Learning. CoRR abs/2410.23724 (2024) - [i12]Michael Schlichtkrull, Yulong Chen, Chenxi Whitehouse, Zhenyun Deng, Mubashara Akhtar, Rami Aly, Zhijiang Guo, Christos Christodoulopoulos, Oana Cocarascu, Arpit Mittal, James Thorne, Andreas Vlachos:
The Automated Verification of Textual Claims (AVeriTeC) Shared Task. CoRR abs/2410.23850 (2024) - 2023
- [j4]Mackenzie Jorgensen
, Madeleine Waller, Oana Cocarascu, Natalia Criado, Odinaldo Rodrigues, Jose Such, Elizabeth Black:
Investigating the Legality of Bias Mitigation Methods in the United Kingdom. IEEE Technol. Soc. Mag. 42(4): 87-94 (2023) - [c20]Madeleine Waller, Odinaldo Rodrigues, Oana Cocarascu:
Recommendations for Bias Mitigation Methods: Applicability and Legality. AEQUITAS@ECAI 2023 - [c19]Mubashara Akhtar, Oana Cocarascu, Elena Simperl:
Reading and Reasoning over Chart Images for Evidence-based Automated Fact-Checking. EACL (Findings) 2023: 399-414 - [c18]Mubashara Akhtar, Michael Schlichtkrull, Zhijiang Guo, Oana Cocarascu, Elena Simperl, Andreas Vlachos:
Multimodal Automated Fact-Checking: A Survey. EMNLP (Findings) 2023: 5430-5448 - [c17]Mubashara Akhtar, Abhilash Reddy Shankarampeta, Vivek Gupta, Arpit Patil, Oana Cocarascu, Elena Simperl:
Exploring the Numerical Reasoning Capabilities of Language Models: A Comprehensive Analysis on Tabular Data. EMNLP (Findings) 2023: 15391-15405 - [e3]Oana Cocarascu, Sylvie Doutre, Jean-Guy Mailly, Antonio Rago:
Proceedings of the First International Workshop on Argumentation and Applications co-located with 20th International Conference on Principles of Knowledge Representation and Reasoning (KR 2023), Rhodes, Greece, September 2-8, 2023. CEUR Workshop Proceedings 3472, CEUR-WS.org 2023 [contents] - [i11]Mubashara Akhtar, Oana Cocarascu, Elena Simperl:
Reading and Reasoning over Chart Images for Evidence-based Automated Fact-Checking. CoRR abs/2301.11843 (2023) - [i10]Mubashara Akhtar, Michael Schlichtkrull, Zhijiang Guo, Oana Cocarascu, Elena Simperl, Andreas Vlachos:
Multimodal Automated Fact-Checking: A Survey. CoRR abs/2305.13507 (2023) - [i9]Madeleine Waller, Odinaldo Rodrigues, Oana Cocarascu:
Bias Mitigation Methods for Binary Classification Decision-Making Systems: Survey and Recommendations. CoRR abs/2305.20020 (2023) - [i8]Madeleine Waller, Odinaldo Rodrigues, Oana Cocarascu:
Identifying Reasons for Bias: An Argumentation-Based Approach. CoRR abs/2310.16506 (2023) - [i7]Mubashara Akhtar, Abhilash Reddy Shankarampeta, Vivek Gupta, Arpit Patil, Oana Cocarascu, Elena Simperl:
Exploring the Numerical Reasoning Capabilities of Language Models: A Comprehensive Analysis on Tabular Data. CoRR abs/2311.02216 (2023) - [i6]Mubashara Akhtar, Nikesh Subedi, Vivek Gupta, Sahar Tahmasebi, Oana Cocarascu, Elena Simperl:
ChartCheck: An Evidence-Based Fact-Checking Dataset over Real-World Chart Images. CoRR abs/2311.07453 (2023) - 2022
- [j3]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:
Reasoning and interaction for social artificial intelligence. AI Commun. 35(4): 309-325 (2022) - [c16]Mehmet Sofi, Matteo Fortier, Oana Cocarascu:
A Robustness Evaluation Framework for Argument Mining. ArgMining@COLING 2022: 171-180 - [c15]Elfia Bezou-Vrakatseli, Oana Cocarascu, Sanjay Modgil:
Towards an Argument Scheme Classification for Ethical Reasoning. CMNA@COMMA 2022: 13-17 - [c14]Mubashara Akhtar, Oana Cocarascu, Elena Simperl:
PubHealthTab: A Public Health Table-based Dataset for Evidence-based Fact Checking. NAACL-HLT (Findings) 2022: 1-16 - [p1]Oana Cocarascu, Kristijonas Cyras, Antonio Rago, Francesca Toni:
Mining Property-driven Graphical Explanations for Data-centric AI from Argumentation Frameworks. Human-Like Machine Intelligence 2022: 93-113 - [e2]Kristijonas Cyras, Timotheus Kampik, Oana Cocarascu, Antonio Rago:
1st International Workshop on Argumentation for eXplainable AI co-located with 9th International Conference on Computational Models of Argument (COMMA 2022), Cardiff, Wales, September 12, 2022. CEUR Workshop Proceedings 3209, CEUR-WS.org 2022 [contents] - 2021
- [j2]Antonio Rago, Oana Cocarascu, Christos Bechlivanidis, David A. Lagnado, Francesca Toni:
Argumentative explanations for interactive recommendations. Artif. Intell. 296: 103506 (2021) - [c13]Rami Aly, Zhijiang Guo, Michael Sejr Schlichtkrull, James Thorne, Andreas Vlachos, Christos Christodoulopoulos, Oana Cocarascu, Arpit Mittal:
FEVEROUS: Fact Extraction and VERification Over Unstructured and Structured information. NeurIPS Datasets and Benchmarks 2021 - [i5]Joel Oksanen, Oana Cocarascu, Francesca Toni:
Automatic Product Ontology Extraction from Textual Reviews. CoRR abs/2105.10966 (2021) - [i4]Oana Cocarascu, Andrew McLean, Paul French, Francesca Toni:
An Explanatory Query-Based Framework for Exploring Academic Expertise. CoRR abs/2105.13728 (2021) - [i3]Rami Aly, Zhijiang Guo, Michael Sejr Schlichtkrull, James Thorne, Andreas Vlachos, Christos Christodoulopoulos, Oana Cocarascu, Arpit Mittal:
FEVEROUS: Fact Extraction and VERification Over Unstructured and Structured information. CoRR abs/2106.05707 (2021) - 2020
- [c12]Oana Cocarascu, Elena Cabrio, Serena Villata, Francesca Toni:
Dataset Independent Baselines for Relation Prediction in Argument Mining. COMMA 2020: 45-52 - [c11]Oana Cocarascu, Andria Stylianou, Kristijonas Cyras, Francesca Toni:
Data-Empowered Argumentation for Dialectically Explainable Predictions. ECAI 2020: 2449-2456 - [c10]Antonio Rago, Oana Cocarascu, Christos Bechlivanidis, Francesca Toni:
Argumentation as a Framework for Interactive Explanations for Recommendations. KR 2020: 805-815 - [c9]Oana Cocarascu, Antonio Rago, Francesca Toni:
Explanation via Machine Arguing. RW 2020: 53-84 - [i2]Oana Cocarascu, Elena Cabrio, Serena Villata, Francesca Toni:
A Dataset Independent Set of Baselines for Relation Prediction in Argument Mining. CoRR abs/2003.04970 (2020)
2010 – 2019
- 2019
- [b1]Oana Cocarascu:
Generating argumentation frameworks from text. Imperial College London, UK, 2019 - [c8]Oana Cocarascu, Antonio Rago, Francesca Toni:
Extracting Dialogical Explanations for Review Aggregations with Argumentative Dialogical Agents. AAMAS 2019: 1261-1269 - 2018
- [j1]Oana Cocarascu, Francesca Toni:
Combining Deep Learning and Argumentative Reasoning for the Analysis of Social Media Textual Content Using Small Data Sets. Comput. Linguistics 44(4) (2018) - [c7]James Thorne, Andreas Vlachos, Oana Cocarascu, Christos Christodoulopoulos, Arpit Mittal:
The Fact Extraction and VERification (FEVER) Shared Task. FEVER@EMNLP 2018: 1-9 - [c6]Antonio Rago, Oana Cocarascu, Francesca Toni:
Argumentation-Based Recommendations: Fantastic Explanations and How to Find Them. IJCAI 2018: 1949-1955 - [e1]James Thorne, Andreas Vlachos, Oana Cocarascu, Christos Christodoulopoulos, Arpit Mittal:
Proceedings of the First Workshop on Fact Extraction and VERification, FEVER@EMNLP 2018, Brussels, Belgium, November 1, 2018. Association for Computational Linguistics 2018, ISBN 978-1-948087-73-5 [contents] - [i1]James Thorne, Andreas Vlachos, Oana Cocarascu, Christos Christodoulopoulos, Arpit Mittal:
The Fact Extraction and VERification (FEVER) Shared Task. CoRR abs/1811.10971 (2018) - 2017
- [c5]Oana Cocarascu, Francesca Toni:
Identifying attack and support argumentative relations using deep learning. EMNLP 2017: 1374-1379 - [c4]Oana Cocarascu, Francesca Toni:
Mining Bipolar Argumentation Frameworks from Natural Language Text. CMNA@ICAIL 2017: 65-70 - 2016
- [c3]Oana Cocarascu, Francesca Toni:
Argumentation for Machine Learning: A Survey. COMMA 2016: 219-230 - [c2]Oana Cocarascu, Francesca Toni:
A System for Supporting the Detection of Deceptive Reviews Using Argument Mining. COMMA 2016: 469-470 - [c1]Oana Cocarascu, Francesca Toni:
Detecting deceptive reviews using Argumentation. PrAISe@ECAI 2016: 9:1-9:8
Coauthor Index
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last updated on 2024-12-01 01:13 CET by the dblp team
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