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Machine Learning for Information Extraction by plmqwerty is a document available to read on EtoBox.
What is Machine Learning for Information Extraction about?
The document describes a machine learning approach to information extraction from text documents. It proposes modeling information extraction as a text classification problem where classifiers are used to select relevant information rather than complex linguistic analysis. The method was used to build a system called TOPO that extracts information about natural disasters from Spanish news articles, achieving an F-measure of 72%.
- Author
- plmqwerty
- Language
- EN