English

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

Computation and Language 2019-06-12 v1 Machine Learning Machine Learning

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

Keywords

Cite

@article{arxiv.1906.04164,
  title  = {FAKTA: An Automatic End-to-End Fact Checking System},
  author = {Moin Nadeem and Wei Fang and Brian Xu and Mitra Mohtarami and James Glass},
  journal= {arXiv preprint arXiv:1906.04164},
  year   = {2019}
}

Comments

Accepted to NAACL '19

R2 v1 2026-06-23T09:49:14.578Z