With the explosive advancement of AI technologies in recent years, the s...
Existing datasets for automated fact-checking have substantial limitatio...
Automated fact-checking is often presented as an epistemic tool that
fac...
Recent research on argumentative dialogues has focused on persuading peo...
Disagreements are frequently studied from the perspective of either dete...
A key component of fact verification is thevevidence retrieval, often fr...
Fact-checking requires retrieving evidence related to a claim under
inve...
People leverage group discussions to collaborate in order to solve compl...
Policy Compliance Detection (PCD) is a task we encounter when reasoning ...
Despite strong performance in many sequence-to-sequence tasks, autoregre...
Policy compliance detection is the task of ensuring that a scenario conf...
Fact-checking has become increasingly important due to the speed with wh...
We propose ProoFVer, a proof system for fact verification using natural
...
Dialogue systems research is traditionally focused on dialogues between ...
Fact verification has attracted a lot of attention in the machine learni...
This paper introduces the task of factual error correction: performing e...
Claim verification is the task of predicting the veracity of written
sta...
The regulatory framework of cryptocurrencies (and, in general, blockchai...
Word embedding learning methods require a large number of occurrences of...
The performance of natural language generation systems has improved
subs...
Disagreements are pervasive in human communication. In this paper we
inv...
As the blockchain ecosystem gets more mature many businesses, investors,...
This paper introduces the task of factual error correction: performing e...
Fact checking at scale is difficult – while the number of active fact
ch...
The biases present in training datasets have been shown to be affecting
...
Neural sequence-to-sequence models provide a competitive approach to the...
Rhetorical structure trees have been shown to be useful for several
docu...
Named entity recognition (NER) is one of the best studied tasks in natur...
There has been substantial progress in summarization research enabled by...
The task of Natural Language Inference (NLI) is widely modeled as superv...
Complex Word Identification (CWI) is the task of identifying which words...
Fact checking is an essential task in journalism; its importance has bee...
This paper describes a baseline for the second iteration of the Fact
Ext...
We present the results of the first Fact Extraction and VERification (FE...
Recent work on abstractive summarization has made progress with neural
e...
The recently increased focus on misinformation has stimulated research i...
Unlike other tasks and despite recent interest, research in textual clai...
Stance detection is the task of classifying the attitude expressed in a ...
Recent work on language modelling has shifted focus from count-based mod...