1 citations · 1 across the 8 of their papers we have counts for
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Multimodal Claim Extraction for Fact-Checking
Joycelyn Teo, Rui Cao, Zhenyun Deng +3
Automated Fact-Checking (AFC) relies on claim extraction as a first step, yet existing methods largely overlook the multimodal nature of today's misinformation. Social media posts…
The Automatic Verification of Image-Text Claims (AVerImaTeC) Shared Task
Rui Cao, Zhenyun Deng, Yulong Chen +2
The Automatic Verification of Image-Text Claims (AVerImaTeC) shared task aims to advance system development for retrieving evidence and verifying real-world image-text claims. Part…
Improving Zero-shot Sentence Decontextualisation with Content Selection and Planning
Zhenyun Deng, Yulong Chen, Andreas Vlachos
Extracting individual sentences from a document as evidence or reasoning steps is commonly done in many NLP tasks. However, extracted sentences often lack context necessary to make…
PledgeTracker: A System for Monitoring the Fulfilment of Pledges
Yulong Chen, Michael Sejr Schlichtkrull, Zhenyun Deng +5
Political pledges reflect candidates' policy commitments, but tracking their fulfilment requires reasoning over incremental evidence distributed across multiple, dynamically update…
The Automated Verification of Textual Claims (AVeriTeC) Shared Task
Michael Schlichtkrull, Yulong Chen, Chenxi Whitehouse +9
The Automated Verification of Textual Claims (AVeriTeC) shared task asks participants to retrieve evidence and predict veracity for real-world claims checked by fact-checkers. Evid…
Document-level Claim Extraction and Decontextualisation for Fact-Checking
Zhenyun Deng, Michael Schlichtkrull, Andreas Vlachos
Selecting which claims to check is a time-consuming task for human fact-checkers, especially from documents consisting of multiple sentences and containing multiple claims. However…