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» Analyzing the Errors of Unsupervised Learning
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KES
2004
Springer
16 years 2 days ago
Analyzing the Temporal Sequences for Text Categorization
– This paper describes a text categorization approach that is based on a combination of a newly designed text representation with a kNN classifier. The new text document represen...
Xiao Luo, A. Nur Zincir-Heywood
193
Voted
EMNLP
2008
15 years 8 months ago
Unsupervised Multilingual Learning for POS Tagging
We demonstrate the effectiveness of multilingual learning for unsupervised part-of-speech tagging. The key hypothesis of multilingual learning is that by combining cues from multi...
Benjamin Snyder, Tahira Naseem, Jacob Eisenstein, ...
165
Voted
CVPR
2007
IEEE
16 years 8 months ago
Unsupervised Learning of Invariant Feature Hierarchies with Applications to Object Recognition
We present an unsupervised method for learning a hierarchy of sparse feature detectors that are invariant to small shifts and distortions. The resulting feature extractor consists...
Marc'Aurelio Ranzato, Fu Jie Huang, Y-Lan Boureau,...
188
Voted
COLING
2010
15 years 1 months ago
Contextual Modeling for Meeting Translation Using Unsupervised Word Sense Disambiguation
In this paper we investigate the challenges of applying statistical machine translation to meeting conversations, with a particular view towards analyzing the importance of modeli...
Mei Yang, Katrin Kirchhoff
184
Voted
NIPS
2007
15 years 8 months ago
Sparse Feature Learning for Deep Belief Networks
Unsupervised learning algorithms aim to discover the structure hidden in the data, and to learn representations that are more suitable as input to a supervised machine than the ra...
Marc'Aurelio Ranzato, Y-Lan Boureau, Yann LeCun