Results 11 to 20 of about 3,740,163 (314)

Multilingual Previously Fact-Checked Claim Retrieval [PDF]

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
Fact-checkers are often hampered by the sheer amount of online content that needs to be fact-checked. NLP can help them by retrieving already existing fact-checks relevant to the content being investigated. This paper introduces a new multilingual dataset -- MultiClaim -- for previously fact-checked claim retrieval.
Matús Pikuliak, Ivan Srba, Róbert Móro, Timo Hromadka, Timotej Smolen, Martin Melisek, Ivan Vykopal, Jakub Simko, Juraj Podrouzek, Mária Bieliková   +9 more
openaire   +3 more sources

GERE: Generative Evidence Retrieval for Fact Verification [PDF]

Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2022
Fact verification (FV) is a challenging task which aims to verify a claim using multiple evidential sentences from trustworthy corpora, e.g., Wikipedia. Most existing approaches follow a three-step pipeline framework, including document retrieval, sentence retrieval and claim verification.
Jiangui Chen, Ruqing Zhang 0001, Jiafeng Guo, Yixing Fan, Xueqi Cheng   +4 more
openaire   +3 more sources

FIRE: Fact-checking with Iterative Retrieval and Verification

Findings of the Association for Computational Linguistics: NAACL 2025
Fact-checking long-form text is challenging, and it is therefore common practice to break it down into multiple atomic claims. The typical approach to fact-checking these atomic claims involves retrieving a fixed number of pieces of evidence, followed by a verification step.
Zhuohan Xie, Rui Xing, Yuxia Wang, Jiahui Geng, Hasan Iqbal, Dhruv Sahnan, Iryna Gurevych, Preslav Nakov   +7 more
openaire   +3 more sources

Retrieval Augmented Fact Verification by Synthesizing Contrastive Arguments

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
The rapid propagation of misinformation poses substantial risks to public interest. To combat misinformation, large language models (LLMs) are adapted to automatically verify claim credibility. Nevertheless, existing methods heavily rely on the embedded knowledge within LLMs and / or black-box APIs for evidence collection, leading to subpar performance
Zhenrui Yue, Huimin Zeng 0001, Lanyu Shang, Yifan Liu 0019, Yang Zhang 0031, Dong Wang 0002   +5 more
openaire   +3 more sources

Strategy over operation: neural activation in subtraction and multiplication during fact retrieval and procedural strategy use in children. [PDF]

Hum Brain Mapp, 2017
Polspoel B, Peters L, Vandermosten M, De Smedt B.   +3 more
europepmc   +2 more sources

Direct Fact Retrieval from Knowledge Graphs without Entity Linking [PDF]

Annual Meeting of the Association for Computational Linguistics, 2023
There has been a surge of interest in utilizing Knowledge Graphs (KGs) for various natural language processing/understanding tasks. The conventional mechanism to retrieve facts in KGs usually involves three steps: entity span detection, entity ...
Jinheon Baek, Alham Fikri Aji, Jens Lehmann, Sung Ju Hwang   +3 more
semanticscholar   +1 more source

Ev2R: Evaluating Evidence Retrieval in Automated Fact-Checking

CoRR
Current automated fact-checking (AFC) approaches typically evaluate evidence either implicitly via the predicted verdicts or through exact matches with predefined closed knowledge sources, such as Wikipedia. However, these methods are limited due to their reliance on evaluation metrics originally designed for other purposes and constraints from closed ...
Mubashara Akhtar, Michael Sejr Schlichtkrull, Andreas Vlachos 0001   +2 more
openaire   +3 more sources

The role of physical digit representation and numerical magnitude representation in children's multiplication fact retrieval. [PDF]

J Exp Child Psychol, 2016
De Visscher A, Noël MP, De Smedt B.
europepmc   +2 more sources

Multiple-choice quizzes improve memory for misinformation debunks, but do not reduce belief in misinformation

Cognitive Research, 2023
Fact-checkers want people to both read and remember their misinformation debunks. Retrieval practice is one way to increase memory, thus multiple-choice quizzes may be a useful tool for fact-checkers. We tested whether exposure to quizzes improved people’
Jessica R. Collier, Raunak M. Pillai, Lisa K. Fazio   +2 more
doaj   +1 more source

Focused memory search in fact retrieval [PDF]

Memory & Cognition, 1980
Several studies of fact retrieval have shown that the more facts a person learns about a concept, the longer it takes him or her to retrieve any of these facts. This result has been interpreted to mean that retrieval of a fact about a concept involves a search of all facts stored in memory with that concept.
M, McCloskey, K, Bigler
openaire   +2 more sources