275 search results - page 11 / 55 » A Comparison of Pruning Methods for Relational Concept Learn... |
125
Voted
ACL
2007
15 years 5 months ago
2007
A minimally supervised machine learning framework is described for extracting relations of various complexity. Bootstrapping starts from a small set of n-ary relation instances as...
114
Voted
IJON
2007
15 years 3 months ago
2007
In this paper we present a method of parameter optimization, relative trust-region learning, where the trust-region method and the relative optimization [21] are jointly exploited...
121
Voted
EMNLP
2010
15 years 1 months ago
2010
Although many algorithms have been developed to harvest lexical resources, few organize the mined terms into taxonomies. We propose (1) a semi-supervised algorithm that uses a roo...
142
Voted
NLP
2000
15 years 7 months ago
2000
In this article we compare the performance of various machine learning algorithms on the task of constructing word-sense disambiguation rules from data. The distinguishing characte...
129
Voted
ICDM
2008
IEEE
15 years 10 months ago
2008
IEEE
To cope with concept drift, we paired a stable online learner with a reactive one. A stable learner predicts based on all of its experience, whereas a reactive learner predicts ba...