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Extracting Statistical Mentions from Textual Claims to Provide Trusted Content

  • INRIA
  • Laboratoire d'Informatique (LIX)
  • Sorbonne Université

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Claims on statistic (numerical) data, e.g., immigrant populations, are often fact-checked. We present a novel approach to extract from text documents, e.g., online media articles, mentions of statistic entities from a reference source. A claim states that an entity has certain value, at a certain time. This completes a fact-checking pipeline from text, to the reference data closest to the claim. We evaluated our method on the INSEE dataset and show that it is efficient and effective.

Original languageEnglish
Title of host publicationNatural Language Processing and Information Systems - 24th International Conference on Applications of Natural Language to Information Systems, NLDB 2019, Proceedings
EditorsElisabeth Métais, Farid Meziane, Sunil Vadera, Vijayan Sugumaran, Mohamad Saraee
PublisherSpringer Verlag
Pages402-408
Number of pages7
ISBN (Print)9783030232801
DOIs
Publication statusPublished - 1 Jan 2019
Event24th International Conference on Application of Natural Language to Information Systems, NLDB 2019 - Salford, United Kingdom
Duration: 26 Jun 201928 Jun 2019

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11608 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference24th International Conference on Application of Natural Language to Information Systems, NLDB 2019
Country/TerritoryUnited Kingdom
CitySalford
Period26/06/1928/06/19

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