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Enhancing Fact Verification from Online Sources via Corroboration Techniques

The paper by Lin Shu-Han and authors Shubin Zhao and Jonathan Betz discusses a novel approach to verifying the accuracy of facts extracted from web resources. By identifying common attributes and their patterns, the methodology focuses on corroborating new facts against reputable online databases like Wikipedia. The study emphasizes the importance of checking for commonly referenced facts versus lesser-known information, presenting experimental results that showcase the effectiveness of their techniques while acknowledging limitations. This work contributes to improving automated fact-checking mechanisms in the digital information landscape.

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Enhancing Fact Verification from Online Sources via Corroboration Techniques

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Presentation Transcript

  1. Corroborate and Learn Factsfrom the Web Presenter : Lin, Shu-Han Authors : Shubin Zhao,Jonathan Betz SIGKDD(2008)

  2. Outline • Motivation • Objective • Methodology • Experiments • Conclusion • Comments

  3. Wikipedia Motivation moviefone.com Infoplease.com • Many“Facts” • Themovie“Independenceday”

  4. Motivation • Combinethem • MentionedThedirectorofmovie “Roland Emmerich”

  5. Objectives Attribute value • Cachethenew“facts”:attribute+value • HavethesameHTMLpatterns • Thencorroboratethesenew“facts” • Checkotherwebsitealsomentionedaboutthese“facts”ornot • LearnthisfactGoodfact:commonlyreferenced.Incorrectfacts:veryfewmentioned.

  6. Methodology – Overview 3.Extract New facts 1.RelevantPage 2.Match SearchEngine Wiki、Seedset 6

  7. Methodology – Corroboratefact– Commonfact Match • Acommonfact • “Susan”,gender:female • Threshold: 7

  8. Methodology – ExtractNewfacts 3.Extract New facts Cache“RepeatedHTMLpatterns” 8

  9. Experiments 9

  10. Experiments 10

  11. Conclusions • Findrelevantpagesaboutentities • Extractnewfactsbycorroboratingexistingfacts • BaseonstringmatchandHTMLpatterndiscovery

  12. Comments • Advantage • Ideaisintuitive • Languageindependent • Searchandintegrateinformation/dataonweb • Drawback • Canonlyadapttotheoldentitiesor • Lotsofinformationhideinthearticles,notonlytables. • Application • Wecan’tuseittoextractthecommentornewinformation,suchasthecommentsoffoodintheblog

  13. Editdistance

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