Improving Evidence Retrieval for Automated Explainable Fact-Checking

Chris Samarinas; Wynne Hsu; Mong Li Lee

doi:10.18653/v1/2021.naacl-demos.10

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Improving Evidence Retrieval for Automated Explainable Fact-Checking

Chris Samarinas Wynne Hsu Mong Li Lee

Year: 2021 Pages: 84-91

DOI: 10.18653/v1/2021.naacl-demos.10

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Abstract

Chris Samarinas, Wynne Hsu, Mong Li Lee. Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Demonstrations. 2021.

Keywords:

Computer science Information retrieval

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2.40

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0.90

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Is in top 10%

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Topics

Topic Modeling

Physical Sciences → Computer Science → Artificial Intelligence

Natural Language Processing Techniques

Physical Sciences → Computer Science → Artificial Intelligence

Biomedical Text Mining and Ontologies

Life Sciences → Biochemistry, Genetics and Molecular Biology → Molecular Biology

Improving Evidence Retrieval for Automated Explainable Fact-Checking

Abstract

Metrics

Citation History

Topics

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