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83
Voted
ACL
2008
15 years 4 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...
130
Voted
CLEF
2009
Springer
15 years 3 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...
120
Voted
JMLR
2010
14 years 9 months 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...
125
Voted
TASLP
2008
15 years 2 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...
102
Voted
EMNLP
2009
15 years 17 days 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...