6 citations · 8 across the 3 of their papers we have counts for
3 papers
cs.CL2022
Enhancing Legal Argument Mining with Domain Pre-training and Neural Networks
Gechuan Zhang, Paul Nulty, David Lillis
The contextual word embedding model, BERT, has proved its ability on downstream tasks with limited quantities of annotated data. BERT and its variants help to reduce the burden of…
cs.CL2021★ 2 cited
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…
cs.CL2021★ 6 cited
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…