Search Results for author:
Found 6 papers, 1 papers with code
Infusing clinical knowledge into tokenisers for language models
Specifically, using K-Tokeniser, the language models would only require 50\% of the training data to achieve the best performance of the baseline tokeniser using all training data in the concept extraction task and less than 20\% of the data for the automated coding task.
Ontology-Driven and Weakly Supervised Rare Disease Identification from Clinical Notes
Computational text phenotyping is the practice of identifying patients with certain disorders and traits from clinical notes.
A Systematic Review of Natural Language Processing Applied to Radiology Reports
Understanding recent developments in NLP application to radiology is of significance but recent reviews on this are limited.
Plague Dot Text: Text mining and annotation of outbreak reports of the Third Plague Pandemic (1894-1952)
Our interdisciplinary research investigates more than 100 reports from the third plague pandemic (1894-1952) evaluating ways of building a corpus to extract and structure this narrative information through text mining and manual annotation.
Classifying Author Intention for Writer Feedback in Related Work
The ability to produce high-quality publishable material is critical to academic success but many Post-Graduate students struggle to learn to do so.
A Framework for Annotating `Related Works' to Support Feedback to Novice Writers
Understanding what is expected of academic writing can be difficult for novice writers to assimilate, and recent years have seen several automated tools become available to support academic writing.
