An Effective and Efficient Web News Extraction Technique for an Operational NewsIR System
نویسندگان
چکیده
Web information extraction, in particular web news extraction is an open research problem and it is a key point in NewsIR systems. Current techniques fail in the quality of the results, the high computational cost or the necessity of human intervention, all of them critical issues in a real system. We present an automated approach to news recognition and extraction based on a set of heuristics about the articles structure, that is currently applied in an operational system.We also built a data set to evaluate web news extraction methods. Our results in this collection of international news, composed of 4869 web pages from 15 different on-line sources, achieved a 97% of precision and a 94% of recall for the news recognition and extraction task.
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