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Showing results 1 to 11 of 11

1
AmbiFC: Fact-Checking Ambiguous Claims with Evidence

Glockner, Max; Staliūnaitė, Ieva; Thorne, James; Vallejo, Gisela; Vlachos, Andreas; Gurevych, Iryna, TRANSACTIONS OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS, v.12, pp.1 - 18, 2024-01

2
An extensible framework for verification of numerical claims

Thorne, James; Vlachos, Andreas, Software Demonstrations at the 15th Conference of the European Chapter of the Association for Computational Linguistics, EACL 2017, pp.37 - 40, Association for Computational Linguistics, 2017-04-05

3
Automated fact checking: Task formulations, methods and future directions

Thorne, James; Vlachos, Andreas, 27th International Conference on Computational Linguistics, COLING 2018, pp.3346 - 3359, Association for Computational Linguistics (ACL), 2018-08-20

4
Elastic weight consolidation for better bias inoculation

Thorne, James; Vlachos, Andreas, 16th Conference of the European Chapter of the Associationfor Computational Linguistics, EACL 2021, pp.957 - 964, Association for Computational Linguistics (ACL), 2021-04-20

5
Evaluating adversarial attacks against multiple fact verification systems

Thorne, James; Vlachos, Andreas; Christodoulopoulos, Christos; Mittal, Arpit, 2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing, EMNLP-IJCNLP 2019, pp.2944 - 2953, Association for Computational Linguistics, 2019-11-05

6
Evidence-based factual error correction

Thorne, James; Vlachos, Andreas, Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, ACL-IJCNLP 2021, pp.3298 - 3309, Association for Computational Linguistics (ACL), 2021-08-03

7
Fake news detection using stacked ensemble of classifiers

Thorne, James; Chen, Mingjie; Myrianthous, Giorgos; Pu, Jiashu; Wang, Xiaoxuan; Vlachos, Andreas, EMNLP 2017 2nd Workshop on Natural Language Processing Meets Journal., NLPmJ 2017, pp.80 - 83, Association for Computational Linguistics (ACL), 2017-09-07

8
FEVER: A large-scale dataset for fact extraction and verification

Thorne, James; Vlachos, Andreas; Christodoulopoulos, Christos; Mittal, Arpit, 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL HLT 2018, pp.809 - 819, Association for Computational Linguistics (ACL), 2018-06-02

9
FEVEROUS: Fact Extraction and VERification Over Unstructured and Structured information

Aly, Rami; Guo, Zhijiang; Schlichtkrull, Michael; Thorne, James; Vlachos, Andreas; Christodoulopoulos, Christos; Cocarascu, Oana; et al, 35th Conference on Neural Information Processing Systems, NeurIPS 2021, Neural Information Processing Systems foundation, 2021-12-07

10
Generating token-level explanations for natural language inference

Thorne, James; Vlachos, Andreas; Christodoulopoulos, Christos; Mittal, Arpit, 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL HLT 2019, pp.963 - 969, Association for Computational Linguistics (ACL), 2019-06-05

11
The Fact Extraction and VERification Over Unstructured and Structured information (FEVEROUS) Shared Task

Aly, Rami; Guo, Zhijiang; Schlichtkrull, Michael; Thorne, James; Vlachos, Andreas; Christodoulopoulos, Christos; Cocarascu, Oana; et al, 4th Workshop on Fact Extraction and VERification, FEVER 2021, pp.1 - 13, Association for Computational Linguistics (ACL), 2021-11-10

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