Harnessing Abstractive Summarization for Fact-Checked Claim Detection

10 September 2022

Papers citing "Harnessing Abstractive Summarization for Fact-Checked Claim Detection"

7 / 7 papers shown

Title
Attacks against Abstractive Text Summarization Models through Lead Bias and Influence Functions Poojitha Thota Shirin Nilizadeh 31 2 0 26 Oct 2024
Prompt, Condition, and Generate: Classification of Unsupported Claims with In-Context Learning Peter Ebert Christensen Srishti Yadav Serge J. Belongie 17 1 0 19 Sep 2023
Multilingual Previously Fact-Checked Claim Retrieval Matúvs Pikuliak Ivan Srba Robert Moro Timo Hromadka Timotej Smolen Martin Melišek Ivan Vykopal Jakub Simko Juraj Podroužek Maria Bielikova LRM HILM 29 20 0 13 May 2023
An Entity-based Claim Extraction Pipeline for Real-world Biomedical Fact-checking Amelie Wuhrl Lara Grimminger Roman Klinger MedIm 24 4 0 11 Apr 2023
TagRec++: Hierarchical Label Aware Attention Network for Question Categorization Venktesh V Mukesh Mohania Vikram Goyal BDL 20 2 0 10 Aug 2022
Overview of the CLEF--2021 CheckThat! Lab on Detecting Check-Worthy Claims, Previously Fact-Checked Claims, and Fake News Preslav Nakov Giovanni Da San Martino Tamer Elsayed Alberto Barrón-Cedeño Rubén Míguez ... Gautam Kishore Shahi Julia Maria Struß Thomas Mandl Mucahid Kutlu Yavuz Selim Kartal 79 92 0 23 Sep 2021
Assisting the Human Fact-Checkers: Detecting All Previously Fact-Checked Claims in a Document Shaden Shaar Nikola Georgiev Firoj Alam Giovanni Da San Martino Aisha Mohamed Preslav Nakov HILM 70 26 0 14 Sep 2021