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» An Algorithm for Knowledge Base Extraction
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HAIS
2009
Springer
14 years 3 days ago
An Evolutionary Ensemble-Based Method for Rule Extraction with Distributed Data
This paper presents a methodology for knowledge discovery from inherently distributed data without moving it from its original location, completely or partially, to other locations...
Diego M. Escalante, Miguel Angel Rodriguez, Antoni...
LREC
2008
115views Education» more  LREC 2008»
13 years 9 months ago
Extracting Lexical Semantic Knowledge from Wikipedia and Wiktionary
Recently, collaboratively constructed resources such as Wikipedia and Wiktionary have been discovered as valuable lexical semantic knowledge bases with a high potential in diverse...
Torsten Zesch, Christof Müller, Iryna Gurevyc...
AAAI
2000
13 years 8 months ago
Dynamic Case Creation and Expansion for Analogical Reasoning
Most CBR systems rely on a fixed library of cases, where each case consists of a set of facts specified in advance. This paper describes techniques for dynamically extracting case...
Thomas Mostek, Kenneth D. Forbus, Cara Meverden
ACL
2010
13 years 5 months ago
A New Approach to Improving Multilingual Summarization Using a Genetic Algorithm
Automated summarization methods can be defined as "language-independent," if they are not based on any languagespecific knowledge. Such methods can be used for multiling...
Marina Litvak, Mark Last, Menahem Friedman
ICDM
2006
IEEE
86views Data Mining» more  ICDM 2006»
14 years 1 months ago
Turning Clusters into Patterns: Rectangle-Based Discriminative Data Description
The ultimate goal of data mining is to extract knowledge from massive data. Knowledge is ideally represented as human-comprehensible patterns from which end-users can gain intuiti...
Byron J. Gao, Martin Ester