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dot.kom project full details

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Champion: John Domingue
Professor of Computer Science Email Icon Website Icon RDF Icon
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Participant(s):Enrico Motta, Victoria Uren, Barry Norton, Jianhan Zhu

Timeline:01 Oct 2002 - 31 Mar 2005



Designing adaptive infOrmation exTraction from text for KnOwledge Management

DotKom aims to support knowledge management within large corporation through a combination of information extraction and knowledge management technologies. A current problem with both of these technologies is that they are hard-to-use and require extensive expertise. DotKom will provide user-friendly *adaptive* information extraction tools which give instantaneous feedback on the current status of the information extraction learning process and the automatically constructed knowledge acquisition mechanisms.


09 Oct 2002

John Domingue


Publications | Visit External Site for Details  

Zhu, J., Goncalves, A., Uren, V., Motta, E., Pacheco, R., Song, D. and Rueger, S. (2007) Community Relation Discovery by Named Entities, International Conference on Machine Learning and Cybernetics 2007, Hong Kong, China, IEEE

Publications | Visit External Site for Details  

Lopez, V. and Motta, E. (2004) Ontology Driven question answering in AquaLog, 9th International Conference on Applications of Natural Language to Information Systems (NLDB 2004), Manchester, UK

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Latest Seminar
Mr Antonello Meloni
Department of Mathematics and Computer Science, University of Cagliari, IT

Large Language Models for Scientific Question Answering: an Extensive Analysis of the SciQA Benchmark

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The Open University
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