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	<pub:InProceedings rdf:about="http://ebiquity.umbc.edu/paper/html/id/830/Understanding-and-representing-the-semantics-of-large-structured-documents">
		<rdfs:label><![CDATA[Understanding and representing the semantics of large structured documents]]></rdfs:label>
		<pub:title><![CDATA[Understanding and representing the semantics of large structured documents]]></pub:title>
		<pub:publishedOn rdf:datatype="&xsd;dateTime">2018-10-08T00:00:00-05:00</pub:publishedOn>
		<pub:abstract><![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 concepts from a large number of academic articles and business documents. The ontology can describe different functional parts of a document and can be used to enhance semantic indexing for better understanding by humans and machines. We evaluate our models through extensive experiments on datasets of scholarly articles from arXiv and Request for Proposal documents.]]></pub:abstract>
		<pub:pages><![CDATA[65-76]]></pub:pages>
		<pub:note><![CDATA[<img src="https://i.imgur.com/LZkH2gn.png" style='height: 90%; width: 90%; object-fit: contain; display: block; margin-left: auto; margin-right: auto;'>]]></pub:note>
		<pub:volume><![CDATA[2241]]></pub:volume>
		<pub:organization><![CDATA[CEUR]]></pub:organization>
		<pub:counter>1350</pub:counter>
		<pub:googleCitations>27</pub:googleCitations>
		<pub:tag><![CDATA[ deep learning]]></pub:tag>
		<pub:tag><![CDATA[ semantic annotation]]></pub:tag>
		<pub:tag><![CDATA[ai]]></pub:tag>
		<pub:tag><![CDATA[document ontology]]></pub:tag>
		<pub:tag><![CDATA[learning]]></pub:tag>
		<pub:tag><![CDATA[natural language processing]]></pub:tag>
		<pub:tag><![CDATA[ontology]]></pub:tag>
		<pub:tag><![CDATA[rdf]]></pub:tag>
		<pub:booktitle><![CDATA[Proceedings of the 4th Workshop on Semantic Deep Learning (SemDeep-4, ISWC)]]></pub:booktitle>
		<pub:publisher><![CDATA[CEUR Workshop Proceedings]]></pub:publisher>
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							<person:Person rdf:about="http://ebiquity.umbc.edu/person/html/Muhammad/Rahman"><person:name><![CDATA[Muhammad Mahbubur Rahman]]></person:name><rdfs:label><![CDATA[Muhammad Mahbubur Rahman]]></rdfs:label></person:Person>
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