Taku Kudo
Taku Kudo
在 google.com 的電子郵件地址已通過驗證 - 首頁
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引用次數
年份
Google's neural machine translation system: Bridging the gap between human and machine translation
Y Wu, M Schuster, Z Chen, QV Le, M Norouzi, W Macherey, M Krikun, ...
arXiv preprint arXiv:1609.08144, 2016
25512016
Support vector machine applications in computational biology
B Schölkopf, K Tsuda, JP Vert
MIT press, 2004
1113*2004
Applying conditional random fields to Japanese morphological analysis
T Kudo, K Yamamoto, Y Matsumoto
Proceedings of the 2004 conference on empirical methods in natural language …, 2004
8852004
Chunking with support vector machines
T Kudo, Y Matsumoto
Proceedings of the second meeting of the North American Chapter of the …, 2001
6732001
Japanese dependency analysis using cascaded chunking
T Kudo, Y Matsumoto
proceedings of the 6th conference on Natural language learning-Volume 20, 1-7, 2002
6202002
Use of support vector learning for chunk identification
T Kudo, Y Matsumoto
Fourth Conference on Computational Natural Language Learning and the Second …, 2000
3942000
CRF++: Yet another CRF toolkit
T Kudo
http://crfpp. sourceforge. net/, 2005
2912005
Fast methods for kernel-based text analysis
T Kudo, Y Matsumoto
Proceedings of the 41st Annual Meeting on Association for Computational …, 2003
2562003
Mecab: Yet another part-of-speech and morphological analyzer
T Kudo
http://mecab. sourceforge. jp, 2006
2192006
A boosting algorithm for classification of semi-structured text
T Kudo, Y Matsumoto
Proceedings of the 2004 Conference on Empirical Methods in Natural Language …, 2004
2182004
An application of boosting to graph classification
T Kudo, E Maeda, Y Matsumoto
Advances in neural information processing systems, 729-736, 2005
2122005
Sentencepiece: A simple and language independent subword tokenizer and detokenizer for neural text processing
T Kudo, J Richardson
arXiv preprint arXiv:1808.06226, 2018
2022018
Japanese dependency structure analysis based on support vector machines
T Kudo, Y Matsumoto
Proceedings of the 2000 Joint SIGDAT conference on Empirical methods in …, 2000
1672000
gBoost: a mathematical programming approach to graph classification and regression
H Saigo, S Nowozin, T Kadowaki, T Kudo, K Tsuda
Machine Learning 75 (1), 69-89, 2009
1282009
Subword regularization: Improving neural network translation models with multiple subword candidates
T Kudo
arXiv preprint arXiv:1804.10959, 2018
1272018
Weighted substructure mining for image analysis
S Nowozin, K Tsuda, T Uno, T Kudo, G BakIr
2007 IEEE Conference on Computer Vision and Pattern Recognition, 1-8, 2007
1232007
Unknown Word Guessing and Part-of-Speech Tagging Using Support Vector Machines.
T Nakagawa, T Kudo, Y Matsumoto
NLPRS, 325-331, 2001
1042001
Application of kernels to link analysis
T Ito, M Shimbo, T Kudo, Y Matsumoto
Proceedings of the eleventh ACM SIGKDD international conference on Knowledge …, 2005
952005
Japanese named entity extraction using support vector machine
H Yamada
J. Inf. Process. Soc. Jpn. 43 (1), 44-53, 2002
902002
Clustering graphs by weighted substructure mining
K Tsuda, T Kudo
Proceedings of the 23rd international conference on Machine learning, 953-960, 2006
882006
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