activity
20202022
most citedSupervised Contrastive Learning for Multimodal Unreliable News Detection in COVID-19 Pandemic

43 citations · 63 across the 8 of their papers we have counts for

collaborators

10 papers

cs.CL20221 cited

PHEE: A Dataset for Pharmacovigilance Event Extraction from Text

Zhaoyue Sun, Jiazheng Li, Gabriele Pergola +5

The primary goal of drug safety researchers and regulators is to promptly identify adverse drug reactions. Doing so may in turn prevent or reduce the harm to patients and ultimatel…

cs.CL2022

Natural Language Inference with Self-Attention for Veracity Assessment of Pandemic Claims

M. Arana-Catania, Elena Kochkina, Arkaitz Zubiaga +3

We present a comprehensive work on automated veracity assessment from dataset creation to developing novel methods based on Natural Language Inference (NLI), focusing on misinforma…

cs.CL2021

Evaluation of Abstractive Summarisation Models with Machine Translation in Deliberative Processes

M. Arana-Catania, Rob Procter, Yulan He +1

We present work on summarising deliberative processes for non-English languages. Unlike commonly studied datasets, such as news articles, this deliberation dataset reflects difficu…

cs.CL20215 cited

A mixed-methods ethnographic approach to participatory budgeting in Scotland

Jonathan Davies, M. Arana-Catania, Rob Procter +2

Participatory budgeting (PB) is already well established in Scotland in the form of community led grant-making yet has recently transformed from a grass-roots activity to a mainstr…

cs.CL202143 cited

Supervised Contrastive Learning for Multimodal Unreliable News Detection in COVID-19 Pandemic

Wenjia Zhang, Lin Gui, Yulan He

As the digital news industry becomes the main channel of information dissemination, the adverse impact of fake news is explosively magnified. The credibility of a news report shoul…

cs.CL20212 cited

Topic-Aware Evidence Reasoning and Stance-Aware Aggregation for Fact Verification

Jiasheng Si, Deyu Zhou, Tongzhe Li +2

Fact verification is a challenging task that requires simultaneously reasoning and aggregating over multiple retrieved pieces of evidence to evaluate the truthfulness of a claim. E…