Талапты тексеру

AbstractThe recently released FEVER dataset provided benchmark results on a fact-checking task in which given a factual claim, the system must extract textual evidence (sets of sentences from Wikipedia pages) …...

AbstractClaim verification is generally a task of verifying the veracity of a given claim, which is critical to many downstream applications. It is cumbersome and inefficient for human fact-checkers to …...

AbstractIn an era where generating content and publishing it is so easy, we are bombarded with information and are exposed to all kinds of claims, some of which do not …...

AbstractAutomated fact extraction and verification is a challenging task that involves finding relevant evidence sentences from a reliable corpus to verify the truthfulness of a claim. Existing models either (i) …...

AbstractComputing precise evidences, namely minimal sets of sentences that support or refute a given claim, rather than larger evidences is crucial in fact verification (FV), since larger evidences may contain …...

AbstractWe introduce a FEVER-like dataset COVID-Fact of 4,086 claims concerning the COVID-19 pandemic. The dataset contains claims, evidence for the claims, and contradictory claims refuted by the evidence. Unlike previous …...

AbstractClaim verification is challenging because it requires first to find textual evidence and then apply claim-evidence entailment to verify a claim. Previous works evaluate the entailment step based on the …...

AbstractFact-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 unexplored area. We construct DialFact, …...

AbstractIn the 21st century, the proliferation of fake information has emerged as a significant threat to society. Particularly, healthcare medical reporters face challenges when verifying claims related to treatment effects, …...