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Tech Report kmi-04-14 Abstract


Event Recognition on News Stories and Semi-Automatic Population of an Ontology
Techreport ID: kmi-04-14
Date: 2004
Author(s): Maria Vargas-Vera, David Celjuska
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This paper describes a system which recognizes events on news stories. Our system classifies stories and populates a hand-crafted ontology with new instances of classes defined in it. Currently, our system recognizes events which can be classified as belonging to a single category and it also recognizes overlapping events within one article (more than one event is recognized). In each case, the system provides a confidence value associated to the suggested classification. Our system uses Information Extraction and Machine Learning technologies. The system was tested using a corpus of 200 news articles from an archive of electronic news stories describing the academic life of the Knowledge Media (KMi). In particular, these news stories describe events such as a project award, publications, visits, etc.
 
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Narrative Hypermedia is...


Narrative Hypermedia
Narrative is concerned fundamentally with coherence, for instance, whether that be a fiction, an historical account or an argument, none of which 'make sense' unless they are put together in a coherent manner.

Hypermedia is the combination of hypertext for linking and structuring multimedia information.

Narrative Hypermedia is therefore concerned with how all of the above narrative forms, plus the many other diverse forms of discourse possible on the Web, can be effectively designed to communicate coherent conceptual structures, drawing inspiration from theories in narratology, semiotics, psycholinguistics and film.