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Oana Cocarascu
Oana Cocarascu
Verified email at kcl.ac.uk
Title
Cited by
Cited by
Year
The fact extraction and VERification (FEVER) shared task
J Thorne, A Vlachos, O Cocarascu, C Christodoulopoulos, A Mittal
arXiv preprint arXiv:1811.10971, 2018
2202018
FEVEROUS: Fact extraction and VERification over unstructured and structured information
R Aly, Z Guo, M Schlichtkrull, J Thorne, A Vlachos, C Christodoulopoulos, ...
NeurIPS Datasets and Benchmarks, 2021
1562021
The FEVER2. 0 shared task
J Thorne, A Vlachos, O Cocarascu, C Christodoulopoulos, A Mittal
Proceedings of the Second Workshop on Fact Extraction and VERification …, 2019
1002019
Argumentation-based recommendations: Fantastic explanations and how to find them
A Rago, O Cocarascu, F Toni
Proceedings of the Twenty-Seventh International Joint Conference on …, 2018
832018
Identifying attack and support argumentative relations using deep learning
O Cocarascu, F Toni
Proceedings of the 2017 Conference on Empirical Methods in Natural Language …, 2017
772017
Argumentation for Machine Learning: A Survey.
O Cocarascu, F Toni
COMMA, 219-230, 2016
562016
Extracting Dialogical Explanations for Review Aggregations with Argumentative Dialogical Agents.
O Cocarascu, A Rago, F Toni
AAMAS, 1261-1269, 2019
542019
Argumentative explanations for interactive recommendations
A Rago, O Cocarascu, C Bechlivanidis, D Lagnado, F Toni
Artificial Intelligence 296, 103506, 2021
492021
Data-empowered argumentation for dialectically explainable predictions
O Cocarascu, A Stylianou, K Čyras, F Toni
ECAI 2020, 2449-2456, 2020
412020
Argumentation as a framework for interactive explanations for recommendations
A Rago, O Cocarascu, C Bechlivanidis, F Toni
Proceedings of the International Conference on Principles of Knowledge …, 2020
402020
Combining deep learning and argumentative reasoning for the analysis of social media textual content using small data sets
O Cocarascu, F Toni
Computational Linguistics 44 (4), 833-858, 2018
342018
Detecting deceptive reviews using argumentation
O Cocarascu, F Toni
Proceedings of the 1st International Workshop on AI for Privacy and Security …, 2016
322016
A dataset independent set of baselines for relation prediction in argument mining
O Cocarascu, E Cabrio, S Villata, F Toni
arXiv preprint arXiv:2003.04970, 2020
262020
Explanatory predictions with artificial neural networks and argumentation
O Cocarascu, K Cyras, F Toni
Workshop on Explainable Artificial Intelligence, 2018
242018
Reading and Reasoning over Chart Images for Evidence-based Automated Fact-Checking
M Akhtar, O Cocarascu, E Simperl
Findings of the Association for Computational Linguistics: EACL 2023, 2023
112023
Mining bipolar argumentation frameworks from natural language text
O Cocarascu, F Toni
The 17th Workshop on Computational Models of Natural Argument, 2017
102017
PubHealthTab: A public health table-based dataset for evidence-based fact checking
M Akhtar, O Cocarascu, E Simperl
Findings of the Association for Computational Linguistics: NAACL 2022, 1-16, 2022
92022
Justifications Derived from Inconsistent Case Bases Using Authoritativeness.
J Peters, F Bex, H Prakken
ArgXAI@ COMMA, 2022
82022
Multimodal automated fact-checking: A survey
A Mubashara, S Michael, G Zhijiang, C Oana, S Elena, V Andreas
arXiv preprint arXiv:2305.13507, 2023
72023
Reasoning and interaction for social artificial intelligence
E Black, M Brandão, O Cocarascu, B De Keijzer, Y Du, D Long, M Luck, ...
AI Communications 35 (4), 309-325, 2022
52022
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Articles 1–20