Classification Structuring Tagging
نویسندگان
چکیده
This paper presents an information extraction system that processes the textual content of classiied newspaper advertisements in French. The system uses both lexical (words, regular expressions) and contextual information to structure the content of the ads on the basis of predeened thematic forms. The paper rst describes the enhanced tagging mechanism used for extraction. A quantitative evaluation of the system is then provided: scores of 99.0% precision/99.8% recall for domain identiication and 73% accuracy for information extraction were achieved, on the basis of a comparison with human annotators.
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تاریخ انتشار 2000