ClaimRank: Detecting Check-Worthy Claims in Arabic and English

Autor:	Jaradat, Israa, Gencheva, Pepa, Barron-Cedeno, Alberto, Marquez, Lluis, Nakov, Preslav
Rok vydání:	2018
Předmět:	Computer Science - Computation and Language 68T50 I.2.7
Zdroj:	NAACL-2018
Druh dokumentu:	Working Paper
Popis:	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 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. Comment: Check-worthiness; Fact-Checking; Veracity; Community-Question Answering; Neural Networks; Arabic; English
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/1804.07587 Zobrazit plný text záznamu View this record from Arxiv