@inproceedings{nadeem-etal-2019-fakta,
title = "{FAKTA}: An Automatic End-to-End Fact Checking System",
author = "Nadeem, Moin and
Fang, Wei and
Xu, Brian and
Mohtarami, Mitra and
Glass, James",
editor = "Ammar, Waleed and
Louis, Annie and
Mostafazadeh, Nasrin",
booktitle = "Proceedings of the 2019 Conference of the North {A}merican Chapter of the Association for Computational Linguistics (Demonstrations)",
month = jun,
year = "2019",
address = "Minneapolis, Minnesota",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/N19-4014",
doi = "10.18653/v1/N19-4014",
pages = "78--83",
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.",
}
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<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.</abstract>
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%0 Conference Proceedings
%T FAKTA: An Automatic End-to-End Fact Checking System
%A Nadeem, Moin
%A Fang, Wei
%A Xu, Brian
%A Mohtarami, Mitra
%A Glass, James
%Y Ammar, Waleed
%Y Louis, Annie
%Y Mostafazadeh, Nasrin
%S Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics (Demonstrations)
%D 2019
%8 June
%I Association for Computational Linguistics
%C Minneapolis, Minnesota
%F nadeem-etal-2019-fakta
%X 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.
%R 10.18653/v1/N19-4014
%U https://aclanthology.org/N19-4014
%U https://doi.org/10.18653/v1/N19-4014
%P 78-83
Markdown (Informal)
[FAKTA: An Automatic End-to-End Fact Checking System](https://aclanthology.org/N19-4014) (Nadeem et al., NAACL 2019)
ACL
- Moin Nadeem, Wei Fang, Brian Xu, Mitra Mohtarami, and James Glass. 2019. FAKTA: An Automatic End-to-End Fact Checking System. In Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics (Demonstrations), pages 78–83, Minneapolis, Minnesota. Association for Computational Linguistics.