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Evidence-based Verification for Real World Information Needs


Apr 01, 2021
James Thorne, Max Glockner, Gisela Vallejo, Andreas Vlachos, Iryna Gurevych

* Code and Data https://github.com/CambridgeNLIP/verification-real-world-info-needs 

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Factual Error Correction of Claims


Dec 31, 2020
James Thorne, Andreas Vlachos

* Preprint - work in progress 

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Neural Databases


Oct 14, 2020
James Thorne, Majid Yazdani, Marzieh Saeidi, Fabrizio Silvestri, Sebastian Riedel, Alon Halevy

* Submitted to PVLDB vol 14 

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KILT: a Benchmark for Knowledge Intensive Language Tasks


Sep 04, 2020
Fabio Petroni, Aleksandra Piktus, Angela Fan, Patrick Lewis, Majid Yazdani, Nicola De Cao, James Thorne, Yacine Jernite, Vassilis Plachouras, Tim Rocktäschel, Sebastian Riedel


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Avoiding catastrophic forgetting in mitigating model biases in sentence-pair classification with elastic weight consolidation


Apr 29, 2020
James Thorne, Andreas Vlachos


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Generating Token-Level Explanations for Natural Language Inference


Apr 24, 2019
James Thorne, Andreas Vlachos, Christos Christodoulopoulos, Arpit Mittal

* Accepted at NAACL2019 

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Adversarial attacks against Fact Extraction and VERification


Mar 13, 2019
James Thorne, Andreas Vlachos

* Work in progress 

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The Fact Extraction and VERification (FEVER) Shared Task


Nov 30, 2018
James Thorne, Andreas Vlachos, Oana Cocarascu, Christos Christodoulopoulos, Arpit Mittal

* Revised from published version in the proceedings of the FEVER workshop at EMNLP 2018 

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Automated Fact Checking: Task formulations, methods and future directions


Sep 05, 2018
James Thorne, Andreas Vlachos

* Published at the 27th International Conference on Computational Linguistics (COLING 2018) 

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FEVER: a large-scale dataset for Fact Extraction and VERification


Apr 16, 2018
James Thorne, Andreas Vlachos, Christos Christodoulopoulos, Arpit Mittal

* Camera ready version to appear at NAACL2018. Data is released on http://fever.ai 

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