It Takes Nine to Smell a Rat: Neural Multi-Task Learning for Check-Worthiness Prediction

19 August 2019

Papers citing "It Takes Nine to Smell a Rat: Neural Multi-Task Learning for Check-Worthiness Prediction"

7 / 7 papers shown

Title
Detecting Check-Worthy Claims in Political Debates, Speeches, and Interviews Using Audio Data Petar Ivanov Ivan Koychev Momchil Hardalov Preslav Nakov 27 4 0 24 May 2023
Same Same, But Different: Conditional Multi-Task Learning for Demographic-Specific Toxicity Detection Soumyajit Gupta Sooyong Lee Maria De-Arteaga Matthew Lease 27 13 0 14 Feb 2023
Overview of the CLEF-2019 CheckThat!: Automatic Identification and Verification of Claims Tamer Elsayed Preslav Nakov Alberto Barrón-Cedeño Maram Hasanain Reem Suwaileh Giovanni Da San Martino Preslav Nakov 63 109 0 25 Sep 2021
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
COSMOS: Catching Out-of-Context Misinformation with Self-Supervised Learning Shivangi Aneja C. Bregler Matthias Nießner SSL 58 48 0 15 Jan 2021
Fighting the COVID-19 Infodemic in Social Media: A Holistic Perspective and a Call to Arms Firoj Alam Fahim Dalvi Shaden Shaar Nadir Durrani Hamdy Mubarak ... Giovanni Da San Martino Ahmed Abdelali Hassan Sajjad Kareem Darwish Preslav Nakov 22 102 0 15 Jul 2020
That is a Known Lie: Detecting Previously Fact-Checked Claims Shaden Shaar Giovanni Da San Martino Nikolay Babulkov Preslav Nakov HILM 54 154 0 12 May 2020