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» Unsupervised Relation Extraction by Massive Clustering
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ACL
2007
13 years 7 months ago
Sparse Information Extraction: Unsupervised Language Models to the Rescue
Even in a massive corpus such as the Web, a substantial fraction of extractions appear infrequently. This paper shows how to assess the correctness of sparse extractions by utiliz...
Doug Downey, Stefan Schoenmackers, Oren Etzioni
CORR
2010
Springer
138views Education» more  CORR 2010»
13 years 5 months ago
Data Stream Clustering: Challenges and Issues
Very large databases are required to store massive amounts of data that are continuously inserted and queried. Analyzing huge data sets and extracting valuable pattern in many appl...
Madjid Khalilian, Norwati Mustapha
CORR
2006
Springer
225views Education» more  CORR 2006»
13 years 5 months ago
Building and displaying name relations using automatic unsupervised analysis of newspaper articles
We present a tool that, from automatically recognised names, tries to infer inter-person relations in order to present associated people on maps. Based on an in-house Named Entity...
Bruno Pouliquen, Ralf Steinberger, Camelia Ignat, ...
ISCIS
2009
Springer
14 years 9 days ago
Unsupervised learning of affordance relations on a humanoid robot
—In this paper, we study how a humanoid robot can learn affordance relations in his environment through its own interactions in an unsupervised way. Specifically, we developed a...
Baris Akgun, Nilgun Dag, Tahir Bilal, Ilkay Atil, ...
KI
2008
Springer
13 years 5 months ago
Interactive Dynamic Information Extraction
The IDEX system is a prototype of an interactive dynamic Information Extraction (IE) system. A user of the system expresses an information request for a topic description which is ...
Kathrin Eichler, Holmer Hemsen, Markus Löckel...