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Adapting a robust multi-genre NE system for automatic content extraction. (English) Zbl 1020.68801
Scott, Donia (ed.), Artificial intelligence: methodology, systems, and applications. 10th international conference, AIMSA 2002, Varna, Bulgaria, September 4-6, 2002. Proceedings. Berlin: Springer. Lect. Notes Comput. Sci. 2443, 264-273 (2002).
Summary: Many current information extraction systems tend to be designed with particular applications and domains in mind. With the increasing need for robust language engineering tools which can handle a variety of language processing demands, we have used the GATE architecture to design MUSE – a system for named entity recognition and related tasks. In this paper, we address the issue of how this general-purpose system can be adapted for particular applications with minimal time and effort, and how the set of resources used can be adapted dynamically and automatically. We focus specifically on the challenges of the ACE (Automatic Content Extraction) entity detection and tracking task, and preliminary results show promising figures.
For the entire collection see [Zbl 0997.00024].

MSC:
68U99 Computing methodologies and applications
68T50 Natural language processing
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