Seguir
Oana Cocarascu
Oana Cocarascu
Senior Lecturer, King's College London
Dirección de correo verificada de kcl.ac.uk
Título
Citado por
Citado por
Año
The fact extraction and VERification (FEVER) shared task
J Thorne, A Vlachos, O Cocarascu, C Christodoulopoulos, A Mittal
arXiv preprint arXiv:1811.10971, 2018
2342018
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
1432021
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
1142019
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
932018
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
862017
The fact extraction and VERification over unstructured and structured information (FEVEROUS) shared task
R Aly, Z Guo, MS Schlichtkrull, J Thorne, A Vlachos, ...
Proceedings of the Fourth Workshop on Fact Extraction and VERification …, 2021
642021
Extracting Dialogical Explanations for Review Aggregations with Argumentative Dialogical Agents.
O Cocarascu, A Rago, F Toni
AAMAS, 1261-1269, 2019
632019
Argumentative explanations for interactive recommendations
A Rago, O Cocarascu, C Bechlivanidis, D Lagnado, F Toni
Artificial Intelligence 296, 103506, 2021
602021
Argumentation for machine learning: A survey
O Cocarascu, F Toni
Computational Models of Argument, 219-230, 2016
592016
Data-empowered argumentation for dialectically explainable predictions
O Cocarascu, A Stylianou, K Čyras, F Toni
ECAI 2020, 2449-2456, 2020
502020
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
472020
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
362018
Detecting deceptive reviews using argumentation
O Cocarascu, F Toni
Proceedings of the 1st International Workshop on AI for Privacy and Security …, 2016
342016
Dataset independent baselines for relation prediction in argument mining
O Cocarascu, E Cabrio, S Villata, F Toni
Computational Models of Argument, 45-52, 2020
312020
Explanatory predictions with artificial neural networks and argumentation
O Cocarascu, K Cyras, F Toni
Workshop on Explainable Artificial Intelligence, 2018
262018
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
162023
Multimodal automated fact-checking: A survey
M Akhtar, M Schlichtkrull, Z Guo, O Cocarascu, E Simperl, A Vlachos
arXiv preprint arXiv:2305.13507, 2023
152023
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
142022
Exploring the Numerical Reasoning Capabilities of Language Models: A Comprehensive Analysis on Tabular Data
M Akhtar, A Shankarampeta, V Gupta, A Pital, O Cocarascu, E Simperl
Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
102023
Mining bipolar argumentation frameworks from natural language text
O Cocarascu, F Toni
The 17th Workshop on Computational Models of Natural Argument, 2017
102017
El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.
Artículos 1–20