Collecting high quality conversational data can be very expensive for most applications and
infeasible for others due to privacy, ethical, or similar concerns. A promising direction to …

Fact-checking is an essential tool to mitigate the spread of misinformation and
disinformation. We introduce the task of fact-checking in dialogue, which is a relatively …

In real world applications, knowledge graphs (KG) are widely used in various domains (eg
medical applications and dialogue agents). However, for fact verification, KGs have not been …

Automated claim checking is the task of determining the veracity of a claim given evidence
retrieved from a textual knowledge base of trustworthy facts. While previous work has taken …

To build open-domain chatbots that are able to use diverse communicative skills, we
propose a novel framework BotsTalk, where multiple agents grounded to the specific target …

False medical information on social media poses harm to people's health. While the need for
biomedical fact-checking has been recognized in recent years, user-generated medical …

Fact verification is an essential tool to mitigate the spread of false information online, which
has gained a widespread attention recently. However, a fact verification in the question …

Conversational agents are in place in a variety of domains and tasks such as sales and
customer support services in business, student counselling in education and medical …

Biomedical claim verification fails if no evidence can be discovered. In these cases, the fact-
checking verdict remains unknown and the claim is unverifiable. To improve upon this, we …

Existing fact-checking models for biomedical claims are typically trained on synthetic or well-
worded data and hardly transfer to social media content. This mismatch can be mitigated by …