We propose an evidence fusion network called EvidenceNet. The proposed EvidenceNet model captures global contextual information from various levels of evidence ...

Apr 25, 2022 · The main idea behind our model is to evaluate the authenticity of a claim by using evidence information at all levels of the sentence and ...

Mar 4, 2024 · EvidenceNet [59] employs the gating mechanism to filter redundant evidence information and utilizes the evidence fusion network to capture ...

Duration: 15:38
Posted: Sep 12, 2022

EvidenceNet: Evidence Fusion Network for Fact Verification ; WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25 - 29, 2022; Year: ...

Mar 5, 2024 · Abstract. Multi-hop fact verification aims to detect the veracity of the given claim by integrating and reasoning over multiple pieces.

In this paper, we propose a Dual Channel Unified Format fact verification model (DCUF), which unifies various evidence into parallel streams.

Jun 1, 2024 · In this paper, we propose a syntactic evidence network (SENet) model which incorporates entity keywords, syntactic information and sentence attention for fact ...

Existing fact verification models usually build a fully connected reasoning graph, which regards claim-evidence pairs as nodes and connects them with edges.

An awesome paper list of fake news detection (FND) and rumor detection with papers. FND methods are divided into context-based and social media-based methods.