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1
A Survey on Automated Fact-Checking
Guo, Z; Schlichtkrull, M; Vlachos, Andreas. - : Department of Computer Science And Technology, 2022. : Transactions of the Association for Computational Linguistics, 2022
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2
Survival text regression for time-to-event prediction in conversations ...
De Kock, C; Vlachos, Andreas. - : Apollo - University of Cambridge Repository, 2021
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3
I beg to differ: A study of constructive disagreement in online conversations ...
De Kock, C; Vlachos, Andreas. - : Apollo - University of Cambridge Repository, 2021
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4
I Beg to Differ: A study of constructive disagreement in online conversations ...
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5
Evidence-based Factual Error Correction ...
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6
The Fact Extraction and VERification Over Unstructured and Structured information (FEVEROUS) Shared Task ...
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7
Leveraging Type Descriptions for Zero-shot Named Entity Recognition and Classification ...
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8
ProoFVer: Natural Logic Theorem Proving for Fact Verification ...
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9
Stance Detection in German News Articles
In: Proceedings of the Fourth Workshop on Fact Extraction and VERification (FEVER) (2021)
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10
Evidence Selection as a Token-Level Prediction Task
In: Proceedings of the Fourth Workshop on Fact Extraction and VERification (FEVER) (2021)
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11
I beg to differ: A study of constructive disagreement in online conversations
de Kock, C; Vlachos, Andreas. - : Association for Computational Linguistics, 2021. : https://www.aclweb.org/anthology/2021.eacl-main.173, 2021. : EACL 2021 - 16th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of the Conference, 2021
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12
Evidence-based factual error correction
Thorne, J; Vlachos, Andreas. - : Association for Computational Linguistics, 2021. : https://aclanthology.org/2021.acl-long.256, 2021. : ACL-IJCNLP 2021 - 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, Proceedings of the Conference, 2021
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13
Leveraging type descriptions for zero-shot named entity recognition and classification
Aly, R; Vlachos, Andreas; McDonald, R. - : Association for Computational Linguistics, 2021. : ACL-IJCNLP 2021 - 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, Proceedings of the Conference, 2021
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14
Elastic weight consolidation for better bias inoculation
Thorne, J; Vlachos, Andreas. - : Association for Computational Linguistics, 2021. : https://www.aclweb.org/anthology/2021.eacl-main.82, 2021. : EACL 2021 - 16th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of the Conference, 2021
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15
FANG-COVID: A new large-scale benchmark dataset for fake news detection in German
Mattern, Justus; Qiao, Yu; Kerz, Elma. - : Association for Computational Linguistics (ACL), 2021
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16
Neural generative rhetorical structure parsing ...
Mabona, A; Rimell, L; Clark, S; Vlachos, Andreas. - : Apollo - University of Cambridge Repository, 2020
Abstract: © 2019 Association for Computational Linguistics Rhetorical structure trees have been shown to be useful for several document-level tasks including summarization and document classification. Previous approaches to RST parsing have used discriminative models; however, these are less sample efficient than generative models, and RST parsing datasets are typically small. In this paper, we present the first generative model for RST parsing. Our model is a document-level RNN grammar (RNNG) with a bottom-up traversal order. We show that, for our parser's traversal order, previous beam search algorithms for RNNGs have a left-branching bias which is ill-suited for RST parsing. We develop a novel beam search algorithm that keeps track of both structure- and word-generating actions without exhibiting this branching bias and results in absolute improvements of 6.8 and 2.9 on unlabelled and labelled F1 over previous algorithms. Overall, our generative model outperforms a discriminative model with the same features by 2.6 ...
URL: https://dx.doi.org/10.17863/cam.52909
https://www.repository.cam.ac.uk/handle/1810/305829
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17
Incorporating label dependencies in multilabel stance detection
Ferreira, W; Vlachos, Andreas. - : Association for Computational Linguistics, 2020. : EMNLP-IJCNLP 2019 - 2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing, Proceedings of the Conference, 2020
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18
Neural generative rhetorical structure parsing
Mabona, A; Rimell, L; Clark, S. - : Association for Computational Linguistics, 2020. : Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2020
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19
Model-agnostic meta-learning for relation classification with limited supervision
Obamuyide, A; Vlachos, Andreas. - : ACL 2019 - 57th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference, 2020
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20
Generating fact checking briefs
Fan, A; Piktus, A; Petroni, F. - : Association for Computational Linguistics, 2020. : EMNLP 2020 - 2020 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference, 2020
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