Learning to Extract Information for the Semantic Web
نویسنده
چکیده
The goal of information extraction (IE) is to find desired pieces of information in natural language texts and store them in a form that is suitable for automatic querying and processing; the Semantic Web provides formats and standards for storing and processing such data. Hence IE-based automatic or semi-automatic approaches are a promising approach for building the Semantic Web. My Ph.D. thesis focuses on developing and refining trainable algorithms for this purpose.
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