Extracting information from text is the task of obtaining structured, machine-processable facts from information that is mentioned in an unstructured manner. It thus allows systems to automatically aggregate information for further analysis, efficient retrieval, automatic validation, or appropriate visualization. This work explores the potential of using textual patterns for Information Extraction from the World Wide Web.
Extracting information from text is the task of obtaining structured, machine-processable facts from information that is mentioned in an unstructured manner. It thus allows systems to automatically aggregate information for further analysis, efficient retrieval, automatic validation, or appropriate visualization. This work explores the potential of using textual patterns for Information Extraction from the World Wide Web.
Sebastian Serfas shows how cognitive biases systematically affect and distort capital investment-related decision making and business judgements. He provides a large number of examples that every business practitioner might encounter every day, demonstrates the detrimental effects through various empirical experiments, and outlines potential counterstrategies to mitigate these negative effects.
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