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UCREL Corpus Research Seminar: Evidence Finder: a semantic search tool for the PMC Corpus of Biomedical Research Papers

Date: 7 February 2013 Time: 2.00-3:00 pm

Venue: FASS Meeting Room 3

UCREL Corpus Research Seminar

Evidence Finder: a semantic search tool for the PMC Corpus of Biomedical Research Papers

C.J. Rupp (History, Lancaster University. Previously NaCTeM, Manchester University)

This talk will describe the design and development process for a search service designed to provide a more intuitive point of access to a very large corpus of published research in Health and Biomedicine. This work was conducted in the UKPMC project, intended to provide an appropriate portal to the PubMed Central research repository for users in the UK, though the scope has now been widened to Europe as a whole.

Evidence Finder combines a specialised lexical resource, the BioLexicon, Named Entity Recognition (NER), for relevant classes of entity (e.g. genes, diseases, drugs, proteins, …), and deep syntactic analysis, using the Enju parser, customised for the biomedical domain. This base of specialised linguistic and domain knowledge permits the extraction of relevant relations involving significant entities. These are assembled in a large index of "facts" containing potential evidence of interest to researchers. The search tool takes a fairly novel approach, by organising a potentially large set of results according to a set of relevant questions that the user might have asked. We consider this an intuitive method to combat information overload, but have to admit a degree of debt to the quiz show Jeopardy®.

Event website:


Who can attend: Anyone


Further information

Organising departments and research centres: Computing and Communications, Linguistics and English Language, University Centre for Computer Corpus Research on Language (UCREL)


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