Zobrazeno 1 - 10
of 67
pro vyhledávání: '"KIYOTAKA UCHIMOTO"'
Publikováno v:
Journal of Natural Language Processing. 29:748-753
Publikováno v:
Journal of Natural Language Processing. 21:379-401
Publikováno v:
Computational Intelligence. 28:426-451
Dependency parsing has attracted considerable interest from researchers and developers in natural language processing. However, to obtain a high-accuracy dependency parser, supervised techniques require a large volume of hand-annotated data, which ar
Autor:
Kentaro Torisawa, Qing Ma, Kouichi Doi, Yasuhiko Watanabe, Ryo Nishimura, Masaki Murata, Masao Utiyama, Kiyotaka Uchimoto
Publikováno v:
Cognitive Computation. 2:272-279
The maximum entropy (ME) method is a powerful supervised machine learning technique that is useful for various tasks. In this paper, we introduce new studies that successfully employ ME for natural language processing (NLP) problems including machine
Autor:
Takuya Matsuzaki, Jun'ichi Tsujii, Yao-zhong Zhang, Kun Yu, Kiyotaka Uchimoto, Yusuke Miyao, Xiangli Wang
Publikováno v:
Journal of Natural Language Processing. 17:61-80
Comparing with the traditional way of manually developing grammar based on linguistic theory, corpus-oriented grammar development is more promising. To develop HPSG grammar through the corpus-oriented way, a treebank is an indispensable part. This pa
Publikováno v:
ACM Transactions on Asian Language Information Processing. 8:1-20
Dependency parsing has become increasingly popular for a surge of interest lately for applications such as machine translation and question answering. Currently, several supervised learning methods can be used for training high-performance dependency
Autor:
Yiou Wang, Kentaro Torisawa, Hitoshi Isahara, Kiyotaka Uchimoto, Canasai Kruengkrai, Jun'ichi Kazama
Publikováno v:
IEICE Transactions on Information and Systems. :2298-2305
In this paper, we present a discriminative word-character hybrid model for joint Chinese word segmentation and POS tagging. Our word-character hybrid model offers high performance since it can handle both known and unknown words.We describe our strat
Publikováno v:
Language Resources and Evaluation. 40:233-242
This paper describes experiments carried out utilizing a variety of machine-learning methods (the k-nearest neighborhood, decision list, maximum entropy, and support vector machine), and using six machine-translation (MT) systems available on the mar
Autor:
Suguru Matsuyoshi, Seiichi Nakagawa, Toshihiro Takagi, Satoshi Sato, Takehito Utsuro, Kiyotaka Uchimoto, Masatoshi Tsuchiya, Takao Shime
Publikováno v:
Journal of Natural Language Processing. 14:111-138
日本語には, 複数の語がひとかたまりとなって, 全体として1つの機能的な意味を持つ表現が多数存在する.このような表現は機能表現と呼ばれ, 日本語文の構造を理解するために非常に重
Publikováno v:
ACM Transactions on Asian Language Information Processing. 4:18-37
In recent years, various types of tagged corpora have been constructed and much research using tagged corpora has been done. However, tagged corpora contain errors, which impedes the progress of research. Therefore, the correction of errors in corpor