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  <title><![CDATA[Understanding and representing the semantics of large structured documents]]></title>
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  <description><![CDATA[Understanding large, structured documents such as scholarly articles, requests for proposals, or business reports is a complex and difficult task. It involves discovering a document's overall purpose and subject(s), understanding the function and meaning of its sections and subsections, and extracting low-level entities and facts about them. In this research, we present a deep learning-based document ontology to capture the general-purpose semantic structure and domain-specific semantic conce...]]></description>
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