Professor Nigel Collier

Nigel's research is in the broad area of Natural Language Processing and Computational Linguistics. His research brings together computational techniques such as machine learning, syntactic parsing and concept understanding with the aim of providing a machine-understandable semantic representation of text. This is used to support real-world tasks, e.g. question answering and knowledge discovery from very large scale data sources such as the World Wide Web.

Nigel works in collaboration with colleagues from computer science, the life sciences and linguistics.

Recent research projects:

2015 – 2020, SIPHS (EPSRC funded), Semantic interpretation of personal health messages

2012 – 2014, PhenoMiner (EC FP7 funded), Semantic mining of phenotype associations from the scientific literature

2006 – 2012 BioCaster (JST funded), Detecting public health rumors with a Web-based text mining system