153 citations · 243 across the 7 of their papers we have counts for
6 papers · 1 filter
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…
PHEMEPlus: Enriching Social Media Rumour Verification with External Evidence
John Dougrez-Lewis, Elena Kochkina, M. Arana-Catania +2
Work on social media rumour verification utilises signals from posts, their propagation and users involved. Other lines of work target identifying and fact-checking claims based on…
Learning Reporting Dynamics during Breaking News for Rumour Detection in Social Media
Arkaitz Zubiaga, Maria Liakata, Rob Procter
Breaking news leads to situations of fast-paced reporting in social media, producing all kinds of updates related to news stories, albeit with the caveat that some of those early u…
SentiHood: Targeted Aspect Based Sentiment Analysis Dataset for Urban Neighbourhoods
Marzieh Saeidi, Guillaume Bouchard, Maria Liakata +1
In this paper, we introduce the task of targeted aspect-based sentiment analysis. The goal is to extract fine-grained information with respect to entities mentioned in user comment…
Stance Classification in Rumours as a Sequential Task Exploiting the Tree Structure of Social Media Conversations
Arkaitz Zubiaga, Elena Kochkina, Maria Liakata +2
Rumour stance classification, the task that determines if each tweet in a collection discussing a rumour is supporting, denying, questioning or simply commenting on the rumour, has…
Using Gaussian Processes for Rumour Stance Classification in Social Media
Michal Lukasik, Kalina Bontcheva, Trevor Cohn +3
Social media tend to be rife with rumours while new reports are released piecemeal during breaking news. Interestingly, one can mine multiple reactions expressed by social media us…