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» Tree Sequence Kernel for Natural Language
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AAAI
2006
15 years 1 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
15 years 1 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 4 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
15 years 1 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 6 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