Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/2661
Title: TOBB-ETU at CLEF 2019: Prioritizing claims based on check-worthiness
Authors: Altun, Bahadır
Kutlu, Mücahid
Keywords: Classification (of information) 
 learning systems 
 authorship identification
Issue Date: Sep-2019
Publisher: CEUR-WS
Source: Altun, B., and Kutlu, M. (2019). TOBB-ETU at CLEF 2019: prioritizing claims based on check-worthiness. CLEF.
Abstract: In recent years, we witnessed an incredible amount of misinformation spread over the Internet. However, it is extremely time consuming to analyze the veracity of every claim made on the Internet. Thus, we urgently need automated systems that can prioritize claims based on their check-worthiness, helping fact-checkers to focus on important claims. In this paper, we present our hybrid approach which combines rule-based and supervised methods for CLEF-2019 Check That! Lab's Check-Worthiness task. Our primary model ranked 9th based on MAP, and 6th based on R-P, P@5, and P@20 metrics in the official evaluation of primary submissions. © 2019 CEUR-WS. All rights reserved.
Description: 20th Working Notes of CLEF Conference and Labs of the Evaluation Forum, CLEF ( 2019: Lugano; Switzerland)
URI: http://ceur-ws.org/Vol-2380/paper_98.pdf
https://hdl.handle.net/20.500.11851/2661
ISSN: 16130073
Appears in Collections:Bilgisayar Mühendisliği Bölümü / Department of Computer Engineering
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection

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