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 <channel rdf:about="http://ebiquity.umbc.edu//tags/html/?t=knowledge+base+population">
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  <title><![CDATA[UMBC ebiquity RSS Tag Search]]></title>
  <link><![CDATA[http://ebiquity.umbc.edu//tags/html/?t=knowledge+base+population]]></link>
  <description><![CDATA[UMBC ebiquity RSS Tag Search for knowledge base population]]></description>
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      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/482/Kelvin-Information-Extraction-System"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/354/Wikitology-A-Novel-Hybrid-Knowledge-Base-Derived-from-Wikipedia"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/841/KG-Cleaner-Identifying-and-Correcting-Errors-Produced-by-Information-Extraction-Systems"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/817/Participation-in-TAC-KBP-2017-Cold-Start-TEDL-and-Low-resource-EDL"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/772/HLTCOE-Participation-in-TAC-KBP-2016-Cold-Start-and-EDL"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/730/HLTCOE-Participation-in-TAC-KBP-2015-Cold-Start-and-TEDL"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/717/Entity-Disambiguation-for-Wild-Big-Data-Using-Multi-Level-Clustering"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/702/Interactive-Knowledge-Base-Population"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/671/KELVIN-Extracting-Knowledge-from-Large-Text-Collections"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/697/Hot-Stuff-at-Cold-Start-HLTCOE-participation-at-TAC-2014"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/637/HLTCOE-Participation-at-TAC-2013"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/616/HLTCOE-Participation-at-TAC-2012-Entity-Linking-and-Cold-Start-Knowledge-Base-Construction"/>
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 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/482/Kelvin-Information-Extraction-System">
  <title><![CDATA[Kelvin Information Extraction System]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/482/Kelvin-Information-Extraction-System</link>
  <description><![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 sys...]]></description>
  <dc:date>2015-11-02</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/354/Wikitology-A-Novel-Hybrid-Knowledge-Base-Derived-from-Wikipedia">
  <title><![CDATA[Wikitology: A Novel Hybrid Knowledge Base Derived from Wikipedia]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/354/Wikitology-A-Novel-Hybrid-Knowledge-Base-Derived-from-Wikipedia</link>
  <description><![CDATA[PhD Defense

World knowledge may be available in different forms such as
relational databases, triple stores, link graphs, meta-data and
free text. Human minds are capable of understanding and
reasoning over knowledge represented in different ways and are
influenced by social, contextual and environmental factors. By
following a similar model, we have integrated a variety of
knowledge sources in a novel way to produce a single hybrid
knowledge base, Wikitology, enabling applications ...]]></description>
  <dc:date>2010-07-19</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/841/KG-Cleaner-Identifying-and-Correcting-Errors-Produced-by-Information-Extraction-Systems">
  <title><![CDATA[KG Cleaner: Identifying and Correcting Errors Produced by Information Extraction Systems]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/841/KG-Cleaner-Identifying-and-Correcting-Errors-Produced-by-Information-Extraction-Systems</link>
  <description><![CDATA[KG Cleaner is a framework to identify and correct errors in data produced and delivered by an information extraction system. These tasks have been understudied and KG Cleaner is the first to address both. We introduce a multi-task model that jointly learns to predict if an extracted relation is credible and repair it if not. We evaluate our approach and other models as instance of our framework on two collections: a Wikidata corpus of nearly 700K facts and 5M fact-relevant sentences and a col...]]></description>
  <dc:date>2018-08-15</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/817/Participation-in-TAC-KBP-2017-Cold-Start-TEDL-and-Low-resource-EDL">
  <title><![CDATA[Participation in TAC KBP 2017: Cold Start TEDL and Low-resource EDL]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/817/Participation-in-TAC-KBP-2017-Cold-Start-TEDL-and-Low-resource-EDL</link>
  <description><![CDATA[The JHU HLTCOE participated in the Cold Start and the edl tasks of the 2017 Text Analysis Conference Knowledge Base Population evaluation.  For our sixth year of participation in Cold Start we continued our research with the kelvin system.  We submitted experimental variants that explore use of linking to Freebase across English and Chinese languages and add relations beyond those required by Cold Start.  This is our third year of participation in Tri-lingual EDL and first year for the EDL Pi...]]></description>
  <dc:date>2017-11-13</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/772/HLTCOE-Participation-in-TAC-KBP-2016-Cold-Start-and-EDL">
  <title><![CDATA[HLTCOE Participation in TAC KBP 2016: Cold Start and EDL]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/772/HLTCOE-Participation-in-TAC-KBP-2016-Cold-Start-and-EDL</link>
  <description><![CDATA[The JHU HLTCOE participated in the Cold Start and the Entity Discovery and Linking tasks of the 2016 Text Analysis Conference Knowledge Base Population evaluation. For our fifth year of participation in Cold Start we continued our research with the KELVIN system.  We submitted experimental variants that explore use of linking to Freebase across three languages and add relations beyond those required by Cold Start. This is our second year of participation in EDL. We used KELVIN in all runs.]]></description>
  <dc:date>2016-11-14</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/730/HLTCOE-Participation-in-TAC-KBP-2015-Cold-Start-and-TEDL">
  <title><![CDATA[HLTCOE Participation in TAC KBP 2015: Cold Start and TEDL]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/730/HLTCOE-Participation-in-TAC-KBP-2015-Cold-Start-and-TEDL</link>
  <description><![CDATA[The JHU HLTCOE participated in the Cold Start and the Trilingual Entity Linking and Discovery tasks of the 2015 Text Analysis Conference Knowledge Base Population evaluation. For our fourth year of participation in Cold Start we continued our research with the KELVIN system. We submitted experimental variants that explore use of linking to Freebase and adding additional relations.  This is our first year of participation in EDL. We used KELVIN in three runs and experimented with an alternate ...]]></description>
  <dc:date>2015-11-16</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/717/Entity-Disambiguation-for-Wild-Big-Data-Using-Multi-Level-Clustering">
  <title><![CDATA[Entity Disambiguation for Wild Big Data Using Multi-Level Clustering]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/717/Entity-Disambiguation-for-Wild-Big-Data-Using-Multi-Level-Clustering</link>
  <description><![CDATA[When RDF instances represent the same entity they are said
to corefer. For example, two nodes from different RDF graphs 1 both refer
to same individual, musical artist James Brown. Disambiguating entities
is essential for knowledge base population and other tasks that result
in integration or linking of data. Often however, entity instance data
originates from different sources and can be represented using differ-
ent schemas or ontologies. In the age of Big Data, data can have other
c...]]></description>
  <dc:date>2015-10-12</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/702/Interactive-Knowledge-Base-Population">
  <title><![CDATA[Interactive Knowledge Base Population]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/702/Interactive-Knowledge-Base-Population</link>
  <description><![CDATA[Most work on building knowledge bases has focused on collecting entities and facts from as large a collection of documents as possible.  We argue for and describe a new paradigm where the focus is on a high-recall extraction over a small collection of documents under the supervision of a human expert, that we call Interactive Knowledge Base Population (IKBP).]]></description>
  <dc:date>2015-05-15</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/671/KELVIN-Extracting-Knowledge-from-Large-Text-Collections">
  <title><![CDATA[KELVIN: Extracting Knowledge from Large Text Collections]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/671/KELVIN-Extracting-Knowledge-from-Large-Text-Collections</link>
  <description><![CDATA[We describe the KELVIN system for extracting entities and relations from large text collections and its use in the TAC Knowledge Base Population Cold Start task run by the U.S. National Institute of Standards and Technology.  The Cold Start task starts with an empty knowledge base defined by an ontology or entity types, properties, and relations.  Evaluations in 2012 and 2013 were done using a collection of text from local Web and news to de-emphasize the linking entities to a background know...]]></description>
  <dc:date>2014-11-13</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/697/Hot-Stuff-at-Cold-Start-HLTCOE-participation-at-TAC-2014">
  <title><![CDATA[Hot Stuff at Cold Start: HLTCOE participation at TAC 2014]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/697/Hot-Stuff-at-Cold-Start-HLTCOE-participation-at-TAC-2014</link>
  <description><![CDATA[The JHU HLTCOE participated in the Cold Start task in this year’s Text Analysis Conference Knowledge Base Population evaluation.  This is our third year of participation in the task, and we continued our research with the KELVIN system. We submitted experimental variants that explore use of forward-chaining inference, slightly more aggressive entity clustering, refined multiple within-document conference, and prioritization of relations extracted from news sources.]]></description>
  <dc:date>2014-10-31</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/637/HLTCOE-Participation-at-TAC-2013">
  <title><![CDATA[HLTCOE Participation at TAC 2013]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/637/HLTCOE-Participation-at-TAC-2013</link>
  <description><![CDATA[The JHU HLTCOE participated in the Entity Linking and Cold Start Knowledge Base tasks in this year’s Text Analysis Conference Knowledge Base Population evaluation.  We have previously participated in TAC-KBP evaluations in 2009, 2010, 2011, and 2012. Our primary focus this year was on the Cold Start task; improvements to our existing KELVIN system included consolidating slot values for an entity, removal of suspect intra-document conference chains, streamlined cross-document entity corefere...]]></description>
  <dc:date>2013-11-18</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/616/HLTCOE-Participation-at-TAC-2012-Entity-Linking-and-Cold-Start-Knowledge-Base-Construction">
  <title><![CDATA[HLTCOE Participation at TAC 2012: Entity Linking and Cold Start Knowledge Base Construction]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/616/HLTCOE-Participation-at-TAC-2012-Entity-Linking-and-Cold-Start-Knowledge-Base-Construction</link>
  <description><![CDATA[Our team from the JHU HLTCOE participated in the Entity Linking and Cold Start Knowledge Base tasks in this year’s Text Analysis Conference Knowledge Base Population evaluation. We have previously participated in TAC-KBP entity linking evaluations in 2009, 2010, and 2011. This year we developed two new systems: CALE (Context Aware Linker of Entities) and KELVIN (Knowledge Extraction, Linking, Validation, and INference) to support our research for this year’s exciting tasks.]]></description>
  <dc:date>2012-11-05</dc:date>
 </item>
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