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nlp:automatic_fact_checking [2024/06/21 23:05] – [Overviews] jmflanignlp:automatic_fact_checking [2024/07/02 23:46] (current) – [Papers] jmflanig
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   * [[https://arxiv.org/pdf/1803.05355.pdf|Thorne et al 2018 - FEVER: A Large-Scale Dataset for Fact Extraction and VERification]]   * [[https://arxiv.org/pdf/1803.05355.pdf|Thorne et al 2018 - FEVER: A Large-Scale Dataset for Fact Extraction and VERification]]
   * **[[https://arxiv.org/pdf/2204.05511.pdf|Chen et al 2022 - GERE: Generative Evidence Retrieval for Fact Verification]]**   * **[[https://arxiv.org/pdf/2204.05511.pdf|Chen et al 2022 - GERE: Generative Evidence Retrieval for Fact Verification]]**
 +  * **[[https://arxiv.org/pdf/2305.13117|Schlichtkrull et al 2023 - AVERITEC: A Dataset for Real-world Claim Verification with Evidence from the Web]]**
   * Fact checking against tables: [[https://arxiv.org/pdf/1909.02164.pdf|Chen at el 2019 - TabFact: A Large-scale Dataset for Table-based Fact Verification]]   * Fact checking against tables: [[https://arxiv.org/pdf/1909.02164.pdf|Chen at el 2019 - TabFact: A Large-scale Dataset for Table-based Fact Verification]]
     * [[https://arxiv.org/pdf/2004.13659.pdf|Zhong et al 2020 - LogicalFactChecker: Leveraging Logical Operations for Fact Checking with Graph Module Network]]     * [[https://arxiv.org/pdf/2004.13659.pdf|Zhong et al 2020 - LogicalFactChecker: Leveraging Logical Operations for Fact Checking with Graph Module Network]]
nlp/automatic_fact_checking.1719011155.txt.gz · Last modified: 2024/06/21 23:05 by jmflanig
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