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Rule based Logical Forms Extraction Kenny Winner Department of Computer Science, Faculty of Science Land University, Sweden center gmail.com http://cennywenner.com Abstract In this paper, we present
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Rule-based logical forms extraction is a process of extracting structured information or meaning from unstructured text using predefined rules and patterns.
Any organization or individual who wants to extract structured information from unstructured text can use rule-based logical forms extraction.
To fill out rule-based logical forms extraction, you need to define and implement rules or patterns that match the desired information in the text, and then apply those rules to the unstructured text data.
The purpose of rule-based logical forms extraction is to automate the process of extracting structured information from unstructured text, which otherwise would be time-consuming and error-prone if done manually.
The specific information to be reported on rule-based logical forms extraction depends on the requirements or objectives of the extraction process. It could be entities, relationships, attributes, or any other relevant information extracted from the text.
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