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HLTCOE Participation in TAC KBP 2016: Cold Start and EDL
(National Institute of Standards and Technology, 2016-11-14)
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 ...
HLTCOE Participation in TAC KBP 2015: Cold Start and TEDL
(National Institute of Standards and Technology, 2015-11-16)
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 ...
KELVIN: Extracting Knowledge from Large Text Collections
(AAAI Press, 2014-11-13)
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. ...
Hot Stuff at Cold Start: HLTCOE participation at TAC 2014
(National Institute of Standards and Technology, 2014-10-31)
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 ...
HLTCOE Participation at TAC 2013
(2013)
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 ...
Comparing and Evaluating Semantic Data Automatically Extracted from Text
(AAAI Press, 2013-11-15)
One way to obtain large amounts of semantic data is to extract facts from the vast quantities of text that is now available on-line. The relatively low accuracy of current information extraction techniques introduces a ...
KELVIN: a tool for automated knowledge base construction
(2013-06-03)
We present KELVIN, an automated system for processing a large text corpus and distilling a knowledge base about persons, organizations, and locations. We have tested the KELVIN system on several corpora, including: (a) the ...
Improving Word Similarity by Augmenting PMI with Estimates of Word Polysemy
(IEEE, 2013-06-01)
Pointwise mutual information (PMI) is a widely used word similarity measure, but it lacks a clear explanation of how it works. We explore how PMI differs from distributional similarity, and we introduce a novel metric, ...
HLTCOE Participation at TAC 2012: Entity Linking and Cold Start Knowledge Base Construction
(2012-11)
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 Disambiguation for Knowledge Base Population
(2010-08-23)
The integration of facts derived from information extraction systems into existing knowledge bases requires a system to disambiguate entity mentions in the text. This is challenging due to issues such as non-uniform ...