Extracting statistical mentions from textual claims to provide trusted content - Archive ouverte HAL Access content directly
Conference Papers Year :

Extracting statistical mentions from textual claims to provide trusted content

(1, 2) , (1, 2) , (3, 4)
1
2
3
4

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.
Fichier principal
Vignette du fichier
paper.pdf (275.93 Ko) Télécharger le fichier
Origin : Files produced by the author(s)
Loading...

Dates and versions

hal-02121389 , version 1 (06-05-2019)

Identifiers

  • HAL Id : hal-02121389 , version 1

Cite

Tien Duc Cao, Ioana Manolescu, Xavier Tannier. Extracting statistical mentions from textual claims to provide trusted content. NLDB 2019 - 24th International Conference on Applications of Natural Language to Information Systems, Jun 2019, Salford, United Kingdom. ⟨hal-02121389⟩
210 View
277 Download

Share

Gmail Facebook Twitter LinkedIn More