6 citations · 8 across the 7 of their papers we have counts for
4 papers · 1 filter
UCD-CS at TREC 2021 Incident Streams Track
Congcong Wang, David Lillis
In recent years, the task of mining important information from social media posts during crises has become a focus of research for the purposes of assisting emergency response (ES)…
Crisis Domain Adaptation Using Sequence-to-sequence Transformers
Congcong Wang, Paul Nulty, David Lillis
User-generated content (UGC) on social media can act as a key source of information for emergency responders in crisis situations. However, due to the volume concerned, computation…
Transformer-based Multi-task Learning for Disaster Tweet Categorisation
Congcong Wang, Paul Nulty, David Lillis
Social media has enabled people to circulate information in a timely fashion, thus motivating people to post messages seeking help during crisis situations. These messages can cont…
Multi-task transfer learning for finding actionable information from crisis-related messages on social media
Congcong Wang, David Lillis
The Incident streams (IS) track is a research challenge aimed at finding important information from social media during crises for emergency response purposes. More specifically, g…