FAKTA: An Automatic End-to-End Fact Checking System

Moin Nadeem, Wei Fang, Brian Xu, Mitra Mohtarami, James Glass


Abstract
We present FAKTA which is a unified framework that integrates various components of a fact-checking process: document retrieval from media sources with various types of reliability, stance detection of documents with respect to given claims, evidence extraction, and linguistic analysis. FAKTA predicts the factuality of given claims and provides evidence at the document and sentence level to explain its predictions.
Anthology ID:
N19-4014
Volume:
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics (Demonstrations)
Month:
June
Year:
2019
Address:
Minneapolis, Minnesota
Venue:
NAACL
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
78–83
Language:
URL:
https://aclanthology.org/N19-4014
DOI:
10.18653/v1/N19-4014
Bibkey:
Copy Citation:
PDF:
https://aclanthology.org/N19-4014.pdf
Data
FEVER