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116
Voted
ACL
2008
15 years 7 months ago
2008
We identify four types of errors that unsupervised induction systems make and study each one in turn. Our contributions include (1) using a meta-model to analyze the incorrect bia...
170
Voted
CLEF
2009
Springer
15 years 7 months ago
2009
Springer
This paper investigates a novel approach to unsupervised morphology induction relying on community detection in networks. In a first step, morphological transformation rules are a...
154
Voted
JMLR
2010
15 years 18 days ago
2010
Much recent research has been devoted to learning algorithms for deep architectures such as Deep Belief Networks and stacks of auto-encoder variants, with impressive results obtai...
162
Voted
TASLP
2008
15 years 5 months ago
2008
Source separation of musical signals is an appealing but difficult problem, especially in the single-channel case. In this paper, an unsupervised single-channel music source separa...
132
Voted
EMNLP
2009
15 years 3 months ago
2009
We propose a novel unsupervised approach for distinguishing literal and non-literal use of idiomatic expressions. Our model combines an unsupervised and a supervised classifier. T...