Automatic Claim Matching
Automatic Claim Matching is a computational method that identifies and links claims expressed in text to previously verified factual statements or knowledge bases, distinguishing itself from other fact extraction techniques by its focus on automated, large-scale alignment of unverified assertions with existing fact-checked content.
21
Publications
731
Citations
76
Authors
26
Institutions
Publications per year
2017–2026
17
Parents
21
HoVer: A Dataset for Many-Hop Fact Extraction And Claim Verification
Yichen Jiang, Shikha Bordia, Zheng Zhong et al. · 2020 · 95 citations · Full text
1–5 of 21
76
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University of North Carolina at Chapel Hill, United States
4 publications · 395 citations
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3
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2
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2
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1–5 of 76
26
University of North Carolina at Chapel Hill
Chapel Hill, United States
4 h-index
15 publications
1.5K citations

Cornell University
Ithaca, United States
3 h-index
5 publications
99 citations
University of North Carolina Health Care
Chapel Hill, United States
2 h-index
9 publications
606 citations
EURECOM
Valbonne, France
2 h-index
4 publications
86 citations
Mohamed bin Zayed University of Artificial Intelligence
Abu Dhabi, United Arab Emirates
1 h-index
1 publications
13 citations
Politecnico di Milano
Milan, Italy
1 h-index
1 publications
12 citations

University of Zagreb
Zagreb, Croatia
1 h-index
2 publications
82 citations
Infosys (India)
Bengaluru, India
1 h-index
3 publications
54 citations
1–8 of 26
PVLDB · 2 publications · 43 citations
2
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1 publications · 19 citations
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IWE · 1 publications · 13 citations
1
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Repository · 1 publications · 34 citations
1
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Repository · 1 publications · 29 citations
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