Explanations of neural models aim to reveal a model's decision-making pr...
A major concern of Machine Learning (ML) models is their opacity. They a...
Automating the fact checking (FC) process relies on information obtained...
Fact-checking systems have become important tools to verify fake and
mis...
Explanations shed light on a machine learning model's rationales and can...
Recent developments in machine learning have introduced models that appr...
Adversarial attacks reveal important vulnerabilities and flaws of traine...
Recently, novel multi-hop models and datasets have been introduced to ac...
We present the results and main findings of SemEval-2020 Task 12 on
Mult...
The use of offensive language is a major problem in social media which h...
Most existing work on automated fact checking is concerned with predicti...
Emotion lexica are commonly used resources to combat data poverty in
aut...
We propose a multi-task deep-learning approach for estimating the
check-...
We study the problem of automatic fact-checking, paying special attentio...
We present SemEval-2019 Task 8 on Fact Checking in Community Question
An...
In recent years, the proliferation of smart mobile devices has lead to t...
We present an overview of the CLEF-2018 CheckThat! Lab on Automatic
Iden...