Accenture at CheckThat! 2020: If you say so: Post-hoc fact-checking of claims using transformer-based models

5 September 2020

Papers citing "Accenture at CheckThat! 2020: If you say so: Post-hoc fact-checking of claims using transformer-based models"

9 / 9 papers shown

Title
The State of Human-centered NLP Technology for Fact-checking Anubrata Das Houjiang Liu Venelin Kovatchev Matthew Lease HILM 24 61 0 08 Jan 2023
Identifying and Characterizing Active Citizens who Refute Misinformation in Social Media Yida Mu Pu Niu Nikolaos Aletras 34 12 0 21 Apr 2022
Automated Fact-Checking: A Survey Xia Zeng Amani S. Abumansour A. Zubiaga HILM 183 95 0 23 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
Accenture at CheckThat! 2021: Interesting claim identification and ranking with contextually sensitive lexical training data augmentation Evan Williams Paul Rodrigues Sieu Tran 136 19 0 12 Jul 2021
On the Role of Images for Analyzing Claims in Social Media Gullal Singh Cheema Sherzod Hakimov Eric Müller-Budack Ralph Ewerth 16 10 0 17 Mar 2021
g2tmn at Constraint@AAAI2021: Exploiting CT-BERT and Ensembling Learning for COVID-19 Fake News Detection Anna Glazkova Maksim Glazkov T. Trifonov 24 58 0 22 Dec 2020
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding Alex Jinpeng Wang Amanpreet Singh Julian Michael Felix Hill Omer Levy Samuel R. Bowman ELM 297 6,959 0 20 Apr 2018
Improving neural networks by preventing co-adaptation of feature detectors Geoffrey E. Hinton Nitish Srivastava A. Krizhevsky Ilya Sutskever Ruslan Salakhutdinov VLM 266 7,636 0 03 Jul 2012