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	<event:Event rdf:about="http://ebiquity.umbc.edu/event/html/id/482/Kelvin-Information-Extraction-System">
		<rdfs:label><![CDATA[Kelvin Information Extraction System]]></rdfs:label>
		<event:title><![CDATA[Kelvin Information Extraction System]]></event:title>
		<event:speaker>
<person:ProfessorEmeritus 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:ProfessorEmeritus>
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		<event:startDate rdf:datatype="&xsd;dateTime">2015-11-02T10:30:00-05:00</event:startDate>
		<event:endDate rdf:datatype="&xsd;dateTime">2015-11-02T11:30:00-05:00</event:endDate>
		<event:location><![CDATA[ITE 346]]></event:location>
		<event:abstract><![CDATA[I'll describe recent work on the Kelvin information extraction system and its performance in two tasks in the 2015 NIST Text Analysis Conference.  Kelvin has been under development at the JHU Human Language Center of Excellence for several years.  Kelvin reads documents in several languages and extracts entities and relations between them. This year it was used for the Coldstart Knowledge Base Population and Trilingual Entity Discovery and Linking tasks.  Key components in the tasks are a system for cross-document coreference and another that links entities to entries in the Freebase knowledge base.]]></event:abstract>
		<event:tag><![CDATA[information extraction]]></event:tag>
		<event:tag><![CDATA[knowledge base population]]></event:tag>
		<event:tag><![CDATA[natural language processing]]></event:tag>
		<event:tag><![CDATA[tac]]></event:tag>
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