1 citations · 1 across the 3 of their papers we have counts for
5 papers
SynFinTabs: A Dataset of Synthetic Financial Tables for Information and Table Extraction
Ethan Bradley, Muhammad Roman, Karen Rafferty +1
Table extraction from document images is a challenging AI problem, and labelled data for many content domains is difficult to come by. Existing table extraction datasets often focu…
QUB-Cirdan at "Discharge Me!": Zero shot discharge letter generation by open-source LLM
Rui Guo, Greg Farnan, Niall McLaughlin +1
The BioNLP ACL'24 Shared Task on Streamlining Discharge Documentation aims to reduce the administrative burden on clinicians by automating the creation of critical sections of pati…
A case study on profiling of an EEG-based brain decoding interface on Cloud and Edge servers
Alexandra Samsonova, Barry J. Devereux, Georgios Karakonstantis +1
Brain-Computer Interfaces (BCIs) enable converting the brain electrical activity of an interface user to the user commands. BCI research studies demonstrated encouraging results in…
Feature2Vec: Distributional semantic modelling of human property knowledge
Steven Derby, Paul Miller, Barry Devereux
Feature norm datasets of human conceptual knowledge, collected in surveys of human volunteers, yield highly interpretable models of word meaning and play an important role in neuro…
Using Sparse Semantic Embeddings Learned from Multimodal Text and Image Data to Model Human Conceptual Knowledge
Steven Derby, Paul Miller, Brian Murphy +1
Distributional models provide a convenient way to model semantics using dense embedding spaces derived from unsupervised learning algorithms. However, the dimensions of dense embed…