An Integrative Approach to Information Extraction
نویسنده
چکیده
Huge amount of information is hidden within unstructured text. This information is often best exploited in structured or relational form, which is suited for many applications including Information Extraction. Information Extraction is the task of automatically extracting structured information from a given set of information thus producing a well-defined categorized data from unstructured machine readable information. Here, we exploit the idea of integrating Inductive Logic Programming approach and Bayesian Logic Programs for extracting information more efficiently.
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