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
Future Internet is...

To succeed the Future Internet will need to address a number of cross-cutting challenges including:
- Scalability in the face of peer-to-peer traffic, decentralisation, and increased openness
- Trust when government, medical, financial, personal data are increasingly trusted to the cloud, and middleware will increasingly use dynamic service selection
- Interoperability of semantic data and metadata, and of services which will be dynamically orchestrated
- Pervasive usability for users of mobile devices, different languages, cultures and physical abilities
- Mobility for users who expect a seamless experience across spaces, devices, and velocities
Future Internet from KMi.
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