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CORDIS - EU research results
CORDIS

Bringing to the market a new generation of AI-powered Media Monitoring Tools

CORDIS provides links to public deliverables and publications of HORIZON projects.

Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Deliverables

Platform MVP (opens in new window)

Demonstrator of the Platform MVP

Final platform AI tools for Fact Checking and User Adaptability (opens in new window)

Demonstrator of Final platform AI tools for Fact Checking and User Adaptability

First platform AI tools for Fact Checking and User Adaptability (opens in new window)

Demonstrator of First platform AI tools for Fact Checking and User Adaptability

Enhanced platform (opens in new window)

Demonstrator of the Enhanced platform

Publications

Natural Logic-guided Autoregressive Multi-hop Document Retrieval for Fact Verification (opens in new window)

Author(s): Rami Aly and Andreas Vlachos
Published in: Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022, Page(s) 6123–6135
Publisher: Association for Computational Linguistics
DOI: 10.18653/v1/2022.emnlp-main.411

Varifocal Question Generation for Fact-checking (opens in new window)

Author(s): Nedjma Djouhra Ousidhoum, Zhangdie Yuan and Andreas Vlachos
Published in: Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022, Page(s) 2532–2544
Publisher: Association for Computational Linguistics
DOI: 10.18653/v1/2022.emnlp-main.163

ProoFVer: Natural Logic Theorem Proving for Fact Verification (opens in new window)

Author(s): Amrith Krishna, Sebastian Riedel, Andreas Vlachos
Published in: Transactions of the Association for Computational Linguistics, Issue Volume 10, 2022, Page(s) 1013-1030, ISSN 2307-387X
Publisher: MIT Press Direct
DOI: 10.1162/tacl_a_00503

A Survey on Automated Fact-Checking (opens in new window)

Author(s): Zhijiang Guo, Michael Sejr Schlichtkrull, Andreas Vlachos
Published in: Transactions of the Association for Computational Linguistics, Issue Volume 10, 2022, Page(s) 178–206, ISSN 2307-387X
Publisher: MIT Press Direct
DOI: 10.1162/tacl_a_00454

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