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.
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.
Future Internet
KnowledgeManagementMultimedia &
Information SystemsNarrative
HypermediaNew Media SystemsSemantic Web &
Knowledge ServicesSocial Software
Social Software is...
Interacting with other people not only forms the core of human social and psychological experience, but also lies at the centre of what makes the internet such a rich, powerful and exciting collection of knowledge media. We are especially interested in what happens when such interactions take place on a very large scale -- not only because we work regularly with tens of thousands of distance learners at the Open University, but also because it is evident that being part of a crowd in real life possesses a certain 'buzz' of its own, and poses a natural challenge. Different nuances emerge in different user contexts, so we choose to investigate the contexts of work, learning and play to better understand the trade-offs involved in designing effective large-scale social software for multiple purposes.
List all Social Software Projects
Check out these Hot Social Software Technologies:
List all Social Software Technologies
