Research Interests

Most of my work is in the field of Natural Language Processing although it is also been influenced by related areas such as Information Retrieval and Machine Learning.

Areas I have worked on recently include:

• Lexical Semantics (analysis of word meaning), including word sense disambiguation, lexical similarity and hybrid distributional/knowledge-based models.
• Information Extraction (identification of structured knowledge from text), particularly distant supervision approaches to relation extraction.
• Biomedical and Medical Text Processing (supporting access to medical literature), including word sense disambiguation, relation extraction, literature-based discovery/data mining and contradiction identification.
• Document analysis including identification of text reuse/plagiarism and author identification.

Research Projects

• 2021-: Automatically mapping and assessing inequalities in public health research, NIHR
• 2017-2021: Institute of Coding, HEFCE/Office for Students
• 2016: HypoGen: Hypothesis Generation and Visualisation from Large Corpora, DSTL
• 2013-6: Advanced Computing Research Center, HEFCE
• 2014-5: Sensemaking: Exploratory search for document collections, DSTL
• 2012-5: KDisc: Language Processing for Literature Based Discovery in Medicine, EPSRC
• 2011-3: PATHS: Personalised access to cultural heritage, EU
• 2011-2: Scaling-up WSD for the Life Sciences, EPSRC Knolwedge Transfer Account
• 2011-4: RE-COST: REducing the Cost of Oracles for Software Testing, EPSRC
• 2007-10: Lexical Disambiguation for the Biomedical Domain, EPSRC
• 2006-11: CASTLE: Providing Lexical Adaptation Techniques for Language Processing, EPSRC
• 2004-7: RESULT: Relation Extraction with Semi-sUpervised Learning Techniques: EPSRC