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» Tree Sequence Kernel for Natural Language
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AAAI
2006
14 years 10 months ago
Unsupervised Order-Preserving Regression Kernel for Sequence Analysis
In this work, a generalized method for learning from sequence of unlabelled data points based on unsupervised order-preserving regression is proposed. Sequence learning is a funda...
Young-In Shin
FSMNLP
2008
Springer
14 years 11 months ago
Learning with Weighted Transducers
Weighted finite-state transducers have been used successfully in a variety of natural language processing applications, including speech recognition, speech synthesis, and machine ...
Corinna Cortes, Mehryar Mohri
NLPRS
2001
Springer
15 years 1 months ago
Hierarchical Phrase Alignment Harmonized with Parsing
In this paper, we propose a hierarchical phrase alignment method that aims to acquire translation knowledge. Previous methods utilize the correspondence of sub-trees between bilin...
Kenji Imamura
NIPS
2004
14 years 10 months ago
An Application of Boosting to Graph Classification
This paper presents an application of Boosting for classifying labeled graphs, general structures for modeling a number of real-world data, such as chemical compounds, natural lan...
Taku Kudo, Eisaku Maeda, Yuji Matsumoto
BMCBI
2011
14 years 4 months ago
N-gram analysis of 970 microbial organisms reveals presence of biological language models
Background: It has been suggested previously that genome and proteome sequences show characteristics typical of natural-language texts such as “signature-style” word usage ind...
Hatice U. Osmanbeyoglu, Madhavi Ganapathiraju