What we do

Our research TEAM investigates methodologies for the extraction of both explicit and implicit knowledge from large collections of textual documents, in particular in the domains of life sciences and health-care. This field is known as text mining, natural language processing (NLP) and/or text analytics. More precisely, we are intrested in

• Terminology mining (term/entity identification, controlled vocabularies)
• Relationship extraction from text (linking entities)
• Architectures for data and text integration (interoperable services, resources, formats).

Our research combines methods from computational lingustics (e.g. shallow parsing, local grammar modelling), knowledge representation (ontologies) and intensive data mining (feature selection, classification and clustering).

Our main focus is in the domains of biology (biomedical literature), healthcare and medicine (patient/hospital records), but we also investigate other domains/genres (e.g. blogs).

Who we are

We are part of the Text Mining/NLP research group within the School of Computer Science at the University of Manchester, which also hosts the UK National Centre for Text Mining (NaCTeM). We are affiliated to the Manchester Interdisciplinary BioCentre and are based in the IT building (number 40 on the campus map; room IT301).

The gnTEAM was established in 2004 and is led by Dr Goran Nenadic.

Admin Contact: a.dehghan@cs.man.ac.uk