1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.CL2024
Evaluating and Adapting Large Language Models to Represent Folktales in Low-Resource Languages
JA Meaney, Beatrice Alex, William Lamb
Folktales are a rich resource of knowledge about the society and culture of a civilisation. Digital folklore research aims to use automated techniques to better understand these fo…
cs.CL2024★ 1 cited
Infusing clinical knowledge into tokenisers for language models
Abul Hasan, Jinge Wu, Quang Ngoc Nguyen +7
This study introduces a novel knowledge enhanced tokenisation mechanism, K-Tokeniser, for clinical text processing. Technically, at initialisation stage, K-Tokeniser populates glob…
cs.CL2024
Edinburgh Clinical NLP at SemEval-2024 Task 2: Fine-tune your model unless you have access to GPT-4
Aryo Pradipta Gema, Giwon Hong, Pasquale Minervini +2
The NLI4CT task assesses Natural Language Inference systems in predicting whether hypotheses entail or contradict evidence from Clinical Trial Reports. In this study, we evaluate v…