Yuji Matsumoto

Cited by

	All	Since 2016
Citations	16271	4356
h-index	55	29
i10-index	262	87

940

470

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Co-authors

Masayuki AsaharaNational Institute for Japanese Language and LinguisticsVerified email at ninjal.ac.jp
Kentaro InuiTohoku UniversityVerified email at ecei.tohoku.ac.jp
Masashi ShimboSTAIR Lab, Chiba Institute of TechnologyVerified email at stair.center
Mamoru KomachiAssociate Professor at Tokyo Metropolitan UniversityVerified email at tmu.ac.jp
Kevin DuhJohns Hopkins UniversityVerified email at cs.jhu.edu
Ryu IidaNational Institute of Information and Communications TechnologyVerified email at nict.go.jp
Kazuo HaraYamagata UniversityVerified email at sci.kj.yamagata-u.ac.jp
Tadashi NomotoNational Institute of Japanese LiteratureVerified email at nijl.ac.jp
Tomoya MIZUMOTOTohoku UniversityVerified email at ecei.tohoku.ac.jp
Yotaro WatanabePKSHA Technology Inc.Verified email at pkshatech.com
Eiichiro SUMITANICT (National Institute of Information and Communications Technology)Verified email at nict.go.jp
Tsutomu HiraoNTT Communication Science LaboratoriesVerified email at lab.ntt.co.jp
Hiroya TAKAMURAProfessor, Tokyo Institute of TechnologyVerified email at pi.titech.ac.jp
Sebastian RiedelProfessor @ University College London, Researcher @ Facebook AI ResearchVerified email at cs.ucl.ac.uk
Yutaro ShigetoSTAIR Lab, Chiba Institute of TechnologyVerified email at stair.center
Yuta HayashibeMegagon LabsVerified email at megagon.ai
Atsushi FujitaSenior Researcher, National Institute of Information and Communications Technology (NICT), JapanVerified email at paraphrasing.org
Frances YungUniversity of SaarlandVerified email at coli.uni-saarland.de
Hiroki OuchiRIKENVerified email at is.naist.jp
Ai AzumaPostdoctoral Researcher, Nara Institute of Science and TechnologyVerified email at is.naist.jp

Yuji Matsumoto

Team Leader, RIKEN Center for Advanced Intelligence Project

No verified email - Homepage

Natural Language Processing Computational Linguistics Artificial Intelligence


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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	998	2004
Statistical dependency analysis with support vector machines H Yamada, Y Matsumoto Proceedings of the Eighth International Conference on Parsing Technologies …, 2003	780	2003
Chunking with support vector machines T Kudo, Y Matsumoto Second Meeting of the North American Chapter of the Association for …, 2001	699	2001
Japanese dependency analysis using cascaded chunking T Kudo, Y Matsumoto proceedings of the 6th conference on Natural language learning, 1-7, 2002	642	2002
Use of support vector learning for chunk identification T Kudo, Y Matsumoto Fourth Conference on Computational Natural Language Learning and the Second …, 2000	401	2000
Collecting evaluative expressions for opinion extraction N Kobayashi, K Inui, Y Matsumoto, K Tateishi, T Fukushima International Conference on Natural Language Processing, 596-605, 2004	330	2004
Japanese named entity extraction with redundant morphological analysis M Asahara, Y Matsumoto Proceedings of the 2003 Human Language Technology Conference of the North …, 2003	270	2003
チャンキングの段階適用による日本語係り受け解析工藤拓，松本裕治情報処理学会論文誌 43 (6), 1834-1842, 2002	270	2002
Fast methods for kernel-based text analysis T Kudo, Y Matsumoto Proceedings of the 41st Annual Meeting of the Association for Computational …, 2003	263	2003
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	226	2004
BUP: a bottom-up parser embedded in Prolog Y Matsumoto, H Tanaka, H Hirakawa, H Miyoshi, H Yasukawa New Generation Computing 1 (2), 145-158, 1983	223	1983
An application of boosting to graph classification T Kudo, E Maeda, Y Matsumoto Advances in neural information processing systems 17, 729-736, 2004	222	2004
Extracting aspect-evaluation and aspect-of relations in opinion mining N Kobayashi, K Inui, Y Matsumoto Proceedings of the 2007 Joint Conference on Empirical Methods in Natural …, 2007	220	2007
Improvements of Japanese morphological analyzer JUMAN S Kurohashi Proceedings of The International Workshop on Sharable Natural Language, 1994, 1994	208	1994
Emotion classification using massive examples extracted from the web R Tokuhisa, K Inui, Y Matsumoto Proceedings of the 22nd International Conference on Computational …, 2008	189	2008
A new approach to unsupervised text summarization T Nomoto, Y Matsumoto Proceedings of the 24th annual international ACM SIGIR conference on …, 2001	184	2001
Universal Dependencies 1.2 J Nivre, Ž Agić, MJ Aranzabe, M Asahara, A Atutxa, M Ballesteros, J Bauer, ... Universal Dependencies Consortium, 2015	180	2015
Ridge regression, hubness, and zero-shot learning Y Shigeto, I Suzuki, K Hara, M Shimbo, Y Matsumoto Joint European Conference on Machine Learning and Knowledge Discovery in …, 2015	176	2015
Japanese dependency structure analysis based on support vector machines T Kudo, Y Matsumoto 2000 Joint SIGDAT Conference on Empirical Methods in Natural Language …, 2000	174	2000
Extended models and tools for high-performance part-of-speech M Asahara, Y Matsumoto COLING 2000 Volume 1: The 18th International Conference on Computational …, 2000	161	2000

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