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Gradient-Based Adversarial Training on Transformer Networks for
  Detecting Check-Worthy Factual Claims

Gradient-Based Adversarial Training on Transformer Networks for Detecting Check-Worthy Factual Claims

18 February 2020
Kevin Meng
Damian Jimenez
Fatma Arslan
J. Devasier
Daniel Obembe
Chengkai Li
ArXivPDFHTML

Papers citing "Gradient-Based Adversarial Training on Transformer Networks for Detecting Check-Worthy Factual Claims"

5 / 5 papers shown
Title
Ontology Enhanced Claim Detection
Ontology Enhanced Claim Detection
Zehra Melce Hüsünbeyi
Tatjana Scheffler
16
0
0
19 Feb 2024
LAMBRETTA: Learning to Rank for Twitter Soft Moderation
LAMBRETTA: Learning to Rank for Twitter Soft Moderation
Pujan Paudel
Jeremy Blackburn
Emiliano De Cristofaro
Savvas Zannettou
Gianluca Stringhini
17
11
0
12 Dec 2022
A Benchmark Dataset of Check-worthy Factual Claims
A Benchmark Dataset of Check-worthy Factual Claims
Fatma Arslan
Naeemul Hassan
Chengkai Li
Mark Tremayne
HILM
23
64
0
29 Apr 2020
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language
  Understanding
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
299
6,996
0
20 Apr 2018
Google's Neural Machine Translation System: Bridging the Gap between
  Human and Machine Translation
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation
Yonghui Wu
M. Schuster
Zhiwen Chen
Quoc V. Le
Mohammad Norouzi
...
Alex Rudnick
Oriol Vinyals
G. Corrado
Macduff Hughes
J. Dean
AIMat
718
6,748
0
26 Sep 2016
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