Oana Cocarascu

Orcid: 0000-0003-1552-8636

According to our database1, Oana Cocarascu authored at least 32 papers between 2016 and 2024.

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

Timeline

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Bibliography

2024
Identifying Reasons for Bias: An Argumentation-Based Approach.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Investigating the Legality of Bias Mitigation Methods in the United Kingdom.
IEEE Technol. Soc. Mag., December, 2023

ChartCheck: An Evidence-Based Fact-Checking Dataset over Real-World Chart Images.
CoRR, 2023

Bias Mitigation Methods for Binary Classification Decision-Making Systems: Survey and Recommendations.
CoRR, 2023

Multimodal Automated Fact-Checking: A Survey.
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.
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.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023

Recommendations for Bias Mitigation Methods: Applicability and Legality.
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.
AI Commun., 2022

PubHealthTab: A Public Health Table-based Dataset for Evidence-based Fact Checking.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

Towards an Argument Scheme Classification for Ethical Reasoning.
Proceedings of the 22nd Workshop on Computational Models of Natural Argument, 2022

A Robustness Evaluation Framework for Argument Mining.
Proceedings of the 9th Workshop on Argument Mining, 2022

Mining Property-driven Graphical Explanations for Data-centric AI from Argumentation Frameworks.
Proceedings of the Human-Like Machine Intelligence., 2022

2021
An Explanatory Query-Based Framework for Exploring Academic Expertise.
CoRR, 2021

Automatic Product Ontology Extraction from Textual Reviews.
CoRR, 2021

Argumentative explanations for interactive recommendations.
Artif. Intell., 2021

FEVEROUS: Fact Extraction and VERification Over Unstructured and Structured information.
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.
CoRR, 2020

Explanation via Machine Arguing.
Proceedings of the Reasoning Web. Declarative Artificial Intelligence, 2020

Argumentation as a Framework for Interactive Explanations for Recommendations.
Proceedings of the 17th International Conference on Principles of Knowledge Representation and Reasoning, 2020

Data-Empowered Argumentation for Dialectically Explainable Predictions.
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.
Proceedings of the Computational Models of Argument, 2020

2019
Generating argumentation frameworks from text.
PhD thesis, 2019

Extracting Dialogical Explanations for Review Aggregations with Argumentative Dialogical Agents.
Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019

2018
The Fact Extraction and VERification (FEVER) Shared Task.
CoRR, 2018

Combining Deep Learning and Argumentative Reasoning for the Analysis of Social Media Textual Content Using Small Data Sets.
Comput. Linguistics, 2018

Argumentation-Based Recommendations: Fantastic Explanations and How to Find Them.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

2017
Mining Bipolar Argumentation Frameworks from Natural Language Text.
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.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

2016
Detecting deceptive reviews using Argumentation.
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.
Proceedings of the Computational Models of Argument, 2016

Argumentation for Machine Learning: A Survey.
Proceedings of the Computational Models of Argument, 2016


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