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CADET: Computer Assisted Discovery Extraction and Translation
(2017-11-27)
Computer Assisted Discovery Extraction and Translation (CADET) is a workbench for helping knowledge workers find, label, and translate documents of interest. It combines a multitude of analytics together with a flexible ...
Participation in TAC KBP 2017: Cold Start TEDL and Low-resource EDL
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 ...
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 ...
Interactive Knowledge Base Population
(2015-05-15)
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 ...
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 ...