Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Keiji Shinzato"'
Publikováno v:
Proceedings of The Fifth Workshop on e-Commerce and NLP (ECNLP 5).
Autor:
Yuki Oyamada, Keiji Shinzato
Publikováno v:
Journal of Natural Language Processing. 25:57-79
Publikováno v:
EACL (2)
We propose a variant of Convolutional Neural Network (CNN) models, the Attention CNN (ACNN); for large-scale categorization of millions of Japanese items into thirty-five product categories. Compared to a state-of-the-art Gradient Boosted Tree (GBT)
Publikováno v:
Journal of Natural Language Processing. 20:3-25
Publikováno v:
Journal of Information Processing. 20:216-227
Due to the explosive growth in the amount of information in the last decade, it is getting extremely harder to obtain necessary information by conventional information access methods. Hence, creation of drastically new technology is needed. For devel
Publikováno v:
PerDis
In this study, we present the design guidelines, implementation details, and user study results of WallSHOP, a novel interactive shopping experience that extends content sharing between public digital advertising and mobile devices. Multiple users ca
Publikováno v:
IUI Companion
We propose WallSHOP, a novel interactive shopping experience that extends content sharing between publicly available digital signage and mobile devices. Multiple users can freely access and browse the content of public digital signage through a publi
Autor:
Keiji Shinzato, Kentaro Torisawa
Publikováno v:
Journal of Natural Language Processing. 12:125-150
本稿では, HTML, 文書より単語間の上位下位関係を自動獲得する手法を提案する.従来より, 単語間の上位下位関係は自然言語処理において重要な知識であると見なされており, 多くの自動獲
Autor:
Kentaro Inui, Daisuke Kawahara, Keiji Shinzato, Yoshikiyo Kato, Yutaka Kidawara, Susumu Akamine, Sadao Kurohashi
Publikováno v:
IUCS
This paper reports the ongoing development of a large-scale Web crawler and search engine infrastructure at National Institute of Information and Communications Technology. This infrastructure has the following characteristics: (1) It collects one bi
Publikováno v:
Web Intelligence
This paper describes a system that conducts search result clustering for several thousands of Web pages, and elaborates cluster labels through keyword distillation. Keyword distillation is a method that properly handles spelling variations, translite