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nlp:automatic_fact_checking [2023/08/10 20:31] – [Fake News Detection] jmflanignlp:automatic_fact_checking [2024/07/02 23:46] (current) – [Papers] jmflanig
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-====== Automatic Fact Checking ======+====== Fact Checking ======
  
-===== Overviews =====+===== Automatic Fact Checking ===== 
 + 
 +==== Overviews ====
 See [[https://www.aclweb.org/anthology/search/?q=automatic+fact+checking|ACL Anthology - Automatic Fact Checking]]. See [[https://www.aclweb.org/anthology/search/?q=automatic+fact+checking|ACL Anthology - Automatic Fact Checking]].
   * [[https://www.aclweb.org/anthology/C18-1283.pdf|Thorne & Vlachos 2018 - Automated Fact Checking: Task Formulations, Methods and Future Directions]]   * [[https://www.aclweb.org/anthology/C18-1283.pdf|Thorne & Vlachos 2018 - Automated Fact Checking: Task Formulations, Methods and Future Directions]]
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 Limits of Automated Fact-Checking]] Limits of Automated Fact-Checking]]
   * [[https://www.aclweb.org/anthology/2020.coling-main.474.pdf|Kotonya & Toni 2020 - Explainable Automated Fact-Checking: A Survey]]   * [[https://www.aclweb.org/anthology/2020.coling-main.474.pdf|Kotonya & Toni 2020 - Explainable Automated Fact-Checking: A Survey]]
 +  * [[https://arxiv.org/pdf/2108.11896|Gu et al 2021 - A Survey on Automated Fact-Checking]]
   * [[https://arxiv.org/pdf/2301.03056.pdf|Das et al 2023 - The State of Human-centered NLP Technology for Fact-checking]]   * [[https://arxiv.org/pdf/2301.03056.pdf|Das et al 2023 - The State of Human-centered NLP Technology for Fact-checking]]
  
-===== Papers =====+==== Papers ====
   * [[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/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]]
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   * [[https://arxiv.org/pdf/1911.03854.pdf|Nakamura et al 2019 - Fakeddit: A New Multimodal Benchmark Dataset for Fine-grained Fake News Detection]]   * [[https://arxiv.org/pdf/1911.03854.pdf|Nakamura et al 2019 - Fakeddit: A New Multimodal Benchmark Dataset for Fine-grained Fake News Detection]]
   * Fung et al 2021 - InfoSurgeon: Cross-Media Fine-grained Information Consistency Checking for Fake News Detection   * Fung et al 2021 - InfoSurgeon: Cross-Media Fine-grained Information Consistency Checking for Fake News Detection
 +
 +===== Methods for Enhancing Factuality =====
 +  * **In Language Models**
 +    * [[https://arxiv.org/pdf/2206.04624.pdf|Lee et al 2022 - Factuality Enhanced Language Models for Open-Ended Text Generation]]
  
 ===== Datasets ===== ===== Datasets =====
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   * [[https://scholar.google.com/citations?user=DfXsKZ4AAAAJ&hl=en|Preslav Nakov]]   * [[https://scholar.google.com/citations?user=DfXsKZ4AAAAJ&hl=en|Preslav Nakov]]
   * [[https://scholar.google.com/citations?user=XjWnyM4AAAAJ&hl=en|Andreas Vlachos]]   * [[https://scholar.google.com/citations?user=XjWnyM4AAAAJ&hl=en|Andreas Vlachos]]
 +
 +===== Related Pages =====
 +  * [[Factivity]]
 +  * [[Hallucination and Factivity]]
 +
  
nlp/automatic_fact_checking.1691699505.txt.gz · Last modified: 2023/08/10 20:31 by jmflanig

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