AKT EPrint Archive

Event Recognition on News Stories and Semi-Automatic Population of an Ontology

Vargas-Vera, Dr Maria and Celjuska, Mr David (2004) Event Recognition on News Stories and Semi-Automatic Population of an Ontology. In Proceedings International Conference on Web Intelligence (WI 2004)., Beijing, China..

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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.)

Keywords:Event recognition, Information Extraction, Ontology population, Natural Language Processing, Machine Learning
Subjects:AKT Challenges > Knowledge acquisition
ID Code:341
Deposited By:Vargas-Vera, Dr Maria
Deposited On:29 June 2004
Alternative Locations:ttp://kmi.open.ac.uk/publications/papers/KMI-TR-149.pdf

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