KMi Seminars
Statistical Parsing for Information Extraction from Scientific Articles
This event took place on Wednesday 17 November 2004 at 12:45

Dr. Ted Briscoe University of Cambridge Computer Laboratory

I'll describe the states-of-the-art in statistical parsing and information extraction (IE), present the RASP (Robust Accurate Statistical Parsing) System for English, and outline our project with FlyBase, Cambridge to develop an IE system capable of supporting efficient curation of functional genomic information from the fruit fly literature.

I'll argue that IE from the full text of scientific articles requires full statistical parsing, both to reliably locate useful information and to integrate the IE system effectively with domain resources, and that migration to the semantic web/grid creates exciting opportunities, both for generic integration of IE into curation and experimentation and efficient porting of IE to new domains.

 
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Knowledge Management is...


Knowledge Management
Creating learning organisations hinges on managing knowledge at many levels. Knowledge can be provided by individuals or it can be created as a collective effort of a group working together towards a common goal, it can be situated as "war stories" or it can be generalised as guidelines, it can be described informally as comments in a natural language, pictures and technical drawings or it can be formalised as mathematical formulae and rules, it can be expressed explicitly or it can be tacit, embedded in the work product. The recipient of knowledge - the learner - can be an individual or a work group, professionals, university students, schoolchildren or informal communities of interest.
Our aim is to capture, analyse and organise knowledge, regardless of its origin and form and make it available to the learner when needed presented with the necessary context and in a form supporting the learning processes.