151 citations · 310 across the 11 of their papers we have counts for
8 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…
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…
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…
Machine Learning for Mediation in Armed Conflicts
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.…
Evaluation of Thematic Coherence in Microblogs
Iman Munire Bilal, Bo Wang, Maria Liakata +2
Collecting together microblogs representing opinions about the same topics within the same timeframe is useful to a number of different tasks and practitioners. A major question is…