Showing all 6 Publications linked to Bertrand Sereno

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Research Student
Bertrand Sereno Photograph

I am interested in finding a way to assist the extraction of

claims from the scholarly literature. My work is connected with both the study of the way researchers argue in their documents and the information extraction techniques.

Keys: argumentation, information extraction


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Buckingham Shum, S., Uren, V., Li, G., Sereno, B. and Mancini, C. (2007) Modelling Naturalistic Argumentation in Research Literatures: Representation and Interaction Design Issues, International Journal of Intelligent Systems, (Special Issue on Computational Models of Natural Argument), 22, 1, pp. 17-47, kmi Technical report 04-28

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Buckingham Shum, S., Uren, V., Li, G., Sereno, B. and Mancini, C. (2006) Modelling Naturalistic Argumentation in Research Literatures: Representation and Interaction Design Issues, International Journal of Intelligent Systems (Special issue on Computational Models of Natural Argument)

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Sereno, B., Buckingham Shum, S. and Motta, E. (2005) ClaimSpotter: An Environment to Support Sensemaking with Knowledge Triples, ACM Conference on Intelligent User Interfaces, San Diego, California Proceedings of IUI'05: ACM Conference on Intelligent User Interfaces Technical report http://kmi.open.ac.uk/publications/pdf/kmi-04-29.p

 

Sereno, B., Buckingham Shum, S. and Motta, E. (2004) From scholarly documents to interpretative claims: an approach to bridge the formalisation gulf, European Semantic Web Symposium, Heraklion, Greece

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Sereno, B., Buckingham Shum, S. and Motta, E. (2004) Semantic annotation support in the absence of consensus, First European Semantic Web Symposium, ESWS 2004, Heraklion, Crete, Greece The Semantic Web: Research and Applications - Lecture Notes in Computer Science, eds. Christoph Bussler, John Davies, Dieter Fensel and Rudi Studer, pp. 357-371, Springer Verlag

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Uren, V., Sereno, B., Buckingham Shum, S. and Li, G. (2003) Interfaces for capturing interpretations of research literature, Workshop: Distributed and CollectiveKnowledge Capture Workshop at Knowledge Capture Conference, Florida, USA

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