@inproceedings{jaradat-etal-2018-claimrank,
title = "{C}laim{R}ank: Detecting Check-Worthy Claims in {A}rabic and {E}nglish",
author = "Jaradat, Israa and
Gencheva, Pepa and
Barr{\'o}n-Cede{\~n}o, Alberto and
M{\`a}rquez, Llu{\'\i}s and
Nakov, Preslav",
editor = "Liu, Yang and
Paek, Tim and
Patwardhan, Manasi",
booktitle = "Proceedings of the 2018 Conference of the North {A}merican Chapter of the Association for Computational Linguistics: Demonstrations",
month = jun,
year = "2018",
address = "New Orleans, Louisiana",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/N18-5006",
doi = "10.18653/v1/N18-5006",
pages = "26--30",
abstract = "We present ClaimRank, an online system for detecting check-worthy claims. While originally trained on political debates, the system can work for any kind of text, e.g., interviews or just regular news articles. Its aim is to facilitate manual fact-checking efforts by prioritizing the claims that fact-checkers should consider first. ClaimRank supports both Arabic and English, it is trained on actual annotations from nine reputable fact-checking organizations (PolitiFact, FactCheck, ABC, CNN, NPR, NYT, Chicago Tribune, The Guardian, and Washington Post), and thus it can mimic the claim selection strategies for each and any of them, as well as for the union of them all.",
}
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<abstract>We present ClaimRank, an online system for detecting check-worthy claims. While originally trained on political debates, the system can work for any kind of text, e.g., interviews or just regular news articles. Its aim is to facilitate manual fact-checking efforts by prioritizing the claims that fact-checkers should consider first. ClaimRank supports both Arabic and English, it is trained on actual annotations from nine reputable fact-checking organizations (PolitiFact, FactCheck, ABC, CNN, NPR, NYT, Chicago Tribune, The Guardian, and Washington Post), and thus it can mimic the claim selection strategies for each and any of them, as well as for the union of them all.</abstract>
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%0 Conference Proceedings
%T ClaimRank: Detecting Check-Worthy Claims in Arabic and English
%A Jaradat, Israa
%A Gencheva, Pepa
%A Barrón-Cedeño, Alberto
%A Màrquez, Lluís
%A Nakov, Preslav
%Y Liu, Yang
%Y Paek, Tim
%Y Patwardhan, Manasi
%S Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Demonstrations
%D 2018
%8 June
%I Association for Computational Linguistics
%C New Orleans, Louisiana
%F jaradat-etal-2018-claimrank
%X We present ClaimRank, an online system for detecting check-worthy claims. While originally trained on political debates, the system can work for any kind of text, e.g., interviews or just regular news articles. Its aim is to facilitate manual fact-checking efforts by prioritizing the claims that fact-checkers should consider first. ClaimRank supports both Arabic and English, it is trained on actual annotations from nine reputable fact-checking organizations (PolitiFact, FactCheck, ABC, CNN, NPR, NYT, Chicago Tribune, The Guardian, and Washington Post), and thus it can mimic the claim selection strategies for each and any of them, as well as for the union of them all.
%R 10.18653/v1/N18-5006
%U https://aclanthology.org/N18-5006
%U https://doi.org/10.18653/v1/N18-5006
%P 26-30
Markdown (Informal)
[ClaimRank: Detecting Check-Worthy Claims in Arabic and English](https://aclanthology.org/N18-5006) (Jaradat et al., NAACL 2018)
ACL
- Israa Jaradat, Pepa Gencheva, Alberto Barrón-Cedeño, Lluís Màrquez, and Preslav Nakov. 2018. ClaimRank: Detecting Check-Worthy Claims in Arabic and English. In Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Demonstrations, pages 26–30, New Orleans, Louisiana. Association for Computational Linguistics.