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- W35210258 abstract "News filtering in the financial domain is an information retrieval problem with special requirements. In particular, some end-user SDI profiles go beyond the specification of a broad topic in distinguishing what would be interesting news from the rest. To accommodate these highly precise requirements, the categorisation of news items has to rest on the extraction of information from the text. We describe a system for simultaneously categorising texts and extracting information, which has been constructed in two successive European collaborative projects, COBALT and FACILE. The paper includes a description of the architecture for the systems, details of the high precision and recall results obtained in the COBALT prototype and information on the current developments in the FACILE system. It is distinguished from its predecessor in having multilingual capability, in the use of a more sophisticated preprocessing component, and in the use of sophisticated linguistic components for morphological analysis and for syntactic/semantic analysis in information extraction. More detailed information is given on the preprocessing component in FACILE which is capable of identifying proper nouns and classifying many of them, using patten matching based on morphosyntactically tagged text, and with access to ontological information." @default.
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- W35210258 date "1997-06-25" @default.
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- W35210258 title "Integrated text categorisation and information extraction using pattern matching and linguistic processing" @default.
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