Natural Language Generation (NLG) has made great progress in recent years due to the
development of deep learning techniques such as pre-trained language models. This …

In this paper we present the ClaimBuster dataset of 23,533 statements extracted from all US
general election presidential debates and annotated by human coders. The ClaimBuster …

To curb the problem of false information, social media platforms like Twitter started adding
warning labels to content discussing debunked narratives, with the goal of providing more …

This paper describes the third-year participation of our bigIR group at Qatar University in
CheckThat! lab at CLEF. This year we participated only in Arabic Task 1 that focuses on …

Misinformation spread over social media has become an undeniable infodemic. However,
not all spreading claims are made equal. If propagated, some claims can be destructive, not …

Most existing methods for automatic fact-checking start with a precompiled list of claims to
verify. We investigate the understudied problem of determining what statements in news …

Neural abstractive summarization systems have gained significant progress in recent years.
However, abstractive summarization often produce inconsisitent statements or false facts …

The spread of misinformation has reached a level at which neither research nor fact-
checkers can monitor it only manually anymore. Accordingly, there has been much research …

Abstract This paper introduces Propositional Claim Detection (PCD), an NLP task for
classifying claims to truth, and presents a publicly available dataset for it. PCD is applicable …

We propose an ontology enhanced model for sentence based claim detection. We fused
ontology embeddings from a knowledge base with BERT sentence embeddings to perform …