Staff
- Beatrice Alex (Head of group): Text mining, natural language processing, annotation
- Andreas Grivas: Relation extraction, named entity recognition, dependency parsing, neural networks
- Claire Grover: Text mining and geoparsing
- Clare Llewellyn: Social media analysis, topic modelling, sentiment analysis
- Henry S Thompson: Markup languages, philosophy of the Web, the future of Cognitive Science
- Richard Tobin: XML, text mining
- Imane Guellil: clinical natural language processing and annotation
- Fahrurozzi Rahman: clinical natural language processing
PhD and MSc by Research Students
- Matúš Falis (PhD): Addressing Concept Sparsity in Medical Text with Medical Ontologies
- Aryo Gema (PhD): Knowledge-Augmented Language Models for Patient Information Modelling
- Sarah Immel (PhD): Data Doppelgangers: Writing and identity in the digital age
- Jesse Phitidis (PhD, 1st supervisor: Maria Valdes Fernandez): AI-powered Neuroradiological support system for Cerebrovascular Diseases from MRI
Previous Students
- Lucy Havens (PhD): Identifying and classifying bias in the descriptive language of cultural heritage catalog metadata
- Antoine Lain (PhD, 1st supervisor: Ian Simpson): Capture of phenotype information related to Autism Spectrum Disorder from the public biomedical literature
- Vebjørn Espeland (MRes): Coreference resolution and interactive machine learning. How can incremental learning with newly labelled and domain specific data increase accuracy, efficiency and application uptake for legal technology users.