Real-time Text Mining for the Biomedical Literature: A Collaboration between DiscoveryNet & myGrid
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Rob Gaizauskas
   
Neil Davis
 
Yikun Guo
   
Rob Gaizauskas

Robert Gaizauskas is a Professor in Computer Science Department. He obtained a DPhil in Computational Logic from the University of Sussex in 1992 and has been working the NLP group in Sheffield since its establishment in 1993. His research interests lie in applied natural language processing, especially text mining or information extraction (IE) with a current focus on medical and biological text. He is also working on the extraction of temporal information from texts and on automatic question answering. He has published over 100 papers in peer-reviewed journals and conference proceedings and has been an investigator on 16 funded research projects, including projects funded by the UK Research Councils (EPSRC, BBSRC, MRC), the EU, DARPA, and British industry. He is currently the Sheffield lead PI on the myGrid (EPSRC) and CLEF (MRC) e-Science pilot projects, and is responsible for delivering text mining capability in the context of these projects. He has served on the programme committees of numerous leading international conferences and workshops in the area of computational linguistics and as reviewer for all the major journals in this area, as well as for biomedical informatics journals. He has five years experience in the software industry, including working for a search-engine developer.

Neil Davis
gained a Ph.D. in structural molecular biology from the University of Sheffield in 1999, after gaining an M.Sc. in computer science and a B.Sc. in biochemistry. He worked in industry till early 2002, developing web-based applications. He joined the myGrid project in 2002 and has been responsible for, amongst other things: relational database development and design; web service development and implementation; integration of the Sheffield text mining web service components into the myGrid workflow model. He has supplied biological domain knowledge to assist in the development of text mining systems, specifically with respect to developing in-house ontologies and identifying relational patterns between biological entities in academic texts.
Yikun Guo

He gained the Ph.D in the Natural Language Processing and Information Retrieval from the Fudan University, China in 2002. He joined the myGrid Project since then, worked as one of the major system developers of the AMBIT information extraction system.

©2005 NLP group, University of Sheffield
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