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	<pub:InProceedings rdf:about="http://ebiquity.umbc.edu/paper/html/id/762/ALDA-Cognitive-Assistant-for-Legal-Document-Analytics">
		<rdfs:label><![CDATA[ALDA : Cognitive Assistant for Legal Document Analytics]]></rdfs:label>
		<pub:title><![CDATA[ALDA : Cognitive Assistant for Legal Document Analytics]]></pub:title>
		<pub:publishedOn rdf:datatype="&xsd;dateTime">2016-09-18T00:00:00-05:00</pub:publishedOn>
		<pub:abstract><![CDATA[In recent times, there has been an exponential growth in digitization of legal documents such as case records, contracts,
terms of services, regulations, privacy documents and compliance guidelines. Courts have been digitizing their archived
cases and also making it available for e-discovery. On the
other hand, businesses are now maintaining large data sets
of legal contracts that they have signed with their employees,
customers and contractors. Large public sector organizations
are often bound by complex legal legislation and statutes.
Hence, there is a need of a cognitive assistant to analyze and
reason over these legal rules and help people make decisions.
Today the process of monitoring an ever increasing dataset
of legal contracts and ensuring regulations and compliance
is still very manual and labour intensive. This can prove to
be a bottleneck in the smooth functioning of an enterprise.
Automating these digital workflows is quite hard because the
information is available as text documents but it is not represented in a machine understandable way. With the advancements in cognitive assistance technologies, it is now possible
to analyze these digitized legal documents efficiently. In this
paper, we discuss ALDA, a legal cognitive assistant to analyze digital legal documents. We also present some of the
preliminary results we have obtained by analyzing legal documents using techniques such as semantic web, text mining
and graph analysis.]]></pub:abstract>
		<pub:edition><![CDATA[2016]]></pub:edition>
		<pub:counter>1542</pub:counter>
		<pub:tag><![CDATA[artificial intelligence]]></pub:tag>
		<pub:tag><![CDATA[natural language processing]]></pub:tag>
		<pub:tag><![CDATA[semantic web]]></pub:tag>
		<pub:booktitle><![CDATA[AAAI Fall Symposium 2016]]></pub:booktitle>
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					<person:Person rdf:about="http://ebiquity.umbc.edu/person/html/Anupam/Joshi"><person:name><![CDATA[Anupam Joshi]]></person:name><rdfs:label><![CDATA[Anupam Joshi]]></rdfs:label></person:Person>
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							<person:Person rdf:about="http://ebiquity.umbc.edu/person/html/Karuna/Joshi"><person:name><![CDATA[Karuna Pande Joshi]]></person:name><rdfs:label><![CDATA[Karuna Pande Joshi]]></rdfs:label></person:Person>
						</rdf:first>
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									<person:Person rdf:about="http://ebiquity.umbc.edu/person/html/Tim/Finin"><person:name><![CDATA[Tim Finin]]></person:name><rdfs:label><![CDATA[Tim Finin]]></rdfs:label></person:Person>
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											<person:Person rdf:about="http://ebiquity.umbc.edu/person/html/Claudia/Pearce"><person:name><![CDATA[Claudia Pearce]]></person:name><rdfs:label><![CDATA[Claudia Pearce]]></rdfs:label></person:Person>
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													<person:Person rdf:about="http://ebiquity.umbc.edu/person/html/Sudip/Mittal"><person:name><![CDATA[Sudip Mittal]]></person:name><rdfs:label><![CDATA[Sudip Mittal]]></rdfs:label></person:Person>
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<person:Person rdf:about="http://ebiquity.umbc.edu/person/html/Anupam/Joshi"><person:name><![CDATA[Anupam Joshi]]></person:name><rdfs:label><![CDATA[Anupam Joshi]]></rdfs:label></person:Person>
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		<pub:relatedProject><project:PastProject rdf:about="http://ebiquity.umbc.edu/project/html/id/105/ALDA-Automated-Legal-Document-Analytics"><project:title><![CDATA[ALDA: Automated Legal Document Analytics]]></project:title><rdfs:label><![CDATA[ALDA: Automated Legal Document Analytics]]></rdfs:label></project:PastProject></pub:relatedProject>
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