Finally the required pieces of information like

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Unformatted text preview: where we know in advance what kind of semantic information we are looking for. The main task is to extract parts of text and assign specific attributes to it. As an example consider the task to extract executive position changes from news stories: "Robert L. James, chairman and chief executive officer of McCannErickson, is going to retire on July 1st. He will be replaced by John J. Donner, Jr., the agencies chief operating officer." In this case we have to identify the following information: Organization (McCann-Erickson), position (chief executive officer), date (July 1), outgoing person name (Robert L. James), and incoming person name (John J. Donner, Jr.). The task of information extraction naturally decomposes into a series of processing steps, typically including tokenization, sentence segmentation, part- Band 20 – 2005 45 Hotho, Nürnberger, and Paaß of-speech assignment, and the identification of named entities, i.e. person names, location names and names of organizations....
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