TY - GEN
T1 - Extracting Statistical Mentions from Textual Claims to Provide Trusted Content
AU - Cao, Tien Duc
AU - Manolescu, Ioana
AU - Tannier, Xavier
N1 - Publisher Copyright:
© 2019, Springer Nature Switzerland AG.
PY - 2019/1/1
Y1 - 2019/1/1
N2 - 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.
AB - 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.
UR - https://www.scopus.com/pages/publications/85068331463
U2 - 10.1007/978-3-030-23281-8_36
DO - 10.1007/978-3-030-23281-8_36
M3 - Conference contribution
AN - SCOPUS:85068331463
SN - 9783030232801
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 402
EP - 408
BT - Natural Language Processing and Information Systems - 24th International Conference on Applications of Natural Language to Information Systems, NLDB 2019, Proceedings
A2 - Métais, Elisabeth
A2 - Meziane, Farid
A2 - Vadera, Sunil
A2 - Sugumaran, Vijayan
A2 - Saraee, Mohamad
PB - Springer Verlag
T2 - 24th International Conference on Application of Natural Language to Information Systems, NLDB 2019
Y2 - 26 June 2019 through 28 June 2019
ER -