5 papers · 1 filter
Beyond surface form: A pipeline for semantic analysis in Alzheimer's Disease detection from spontaneous speech
Dylan Phelps, Rodrigo Wilkens, Edward Gow-Smith +6
Alzheimer's Disease (AD) is a progressive neurodegenerative condition that adversely affects cognitive abilities. Language-related changes can be automatically identified through t…
Stands to Reason: Investigating the Effect of Reasoning on Idiomaticity Detection
Dylan Phelps, Rodrigo Wilkens, Edward Gow-Smith +3
The recent trend towards utilisation of reasoning models has improved the performance of Large Language Models (LLMs) across many tasks which involve logical steps. One linguistic…
Limitations of Religious Data and the Importance of the Target Domain: Towards Machine Translation for Guinea-Bissau Creole
Jacqueline Rowe, Edward Gow-Smith, Mark Hepple
We introduce a new dataset for machine translation of Guinea-Bissau Creole (Kiriol), comprising around 40 thousand parallel sentences to English and Portuguese. This dataset is mad…
Word Boundary Information Isn't Useful for Encoder Language Models
Edward Gow-Smith, Dylan Phelps, Harish Tayyar Madabushi +2
All existing transformer-based approaches to NLP using subword tokenisation algorithms encode whitespace (word boundary information) through the use of special space symbols (such…
Sign of the Times: Evaluating the use of Large Language Models for Idiomaticity Detection
Dylan Phelps, Thomas Pickard, Maggie Mi +2
Despite the recent ubiquity of large language models and their high zero-shot prompted performance across a wide range of tasks, it is still not known how well they perform on task…