739 citations · 2k across the 31 of their papers we have counts for
6 papers · 1 filter
A Pipeline for Generating, Annotating and Employing Synthetic Data for Real World Question Answering
Matthew Maufe, James Ravenscroft, Rob Procter +1
Question Answering (QA) is a growing area of research, often used to facilitate the extraction of information from within documents. State-of-the-art QA models are usually pre-trai…
Unsupervised Opinion Summarisation in the Wasserstein Space
Jiayu Song, Iman Munire Bilal, Adam Tsakalidis +2
Opinion summarisation synthesises opinions expressed in a group of documents discussing the same topic to produce a single summary. Recent work has looked at opinion summarisation…
Template-based Abstractive Microblog Opinion Summarisation
Iman Munire Bilal, Bo Wang, Adam Tsakalidis +3
We introduce the task of microblog opinion summarisation (MOS) and share a dataset of 3100 gold-standard opinion summaries to facilitate research in this domain. The dataset contai…
Supporting peace negotiations in the Yemen war through machine learning
M. Arana-Catania, F. A. Van Lier, Rob Procter
Today's conflicts are becoming increasingly complex, fluid and fragmented, often involving a host of national and international actors with multiple and often divergent interests.…
Disentangled Learning of Stance and Aspect Topics for Vaccine Attitude Detection in Social Media
Lixing Zhu, Zheng Fang, Gabriele Pergola +2
Building models to detect vaccine attitudes on social media is challenging because of the composite, often intricate aspects involved, and the limited availability of annotated dat…
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…