Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Asuka Sumida"'
Autor:
Daisuke Noguchi, Stijn De Saeger, Asuka Sumida, Ichiro Yamada, Yasunori Kakizawa, Kow Kuroda, Masaki Murata, Kentaro Torisawa, Jun'ichi Kazama
Publikováno v:
New Generation Computing. 28:217-236
This paper introduces the TORISHIKI-KAI project, which aims to construct a million-word-scale semantic network from the Web using state of the art knowledge acquisition methods. The resulting network can be browsed as a Web search directory, and we s
Publikováno v:
Journal of Natural Language Processing. 16:3-24
Publikováno v:
Systems and Computers in Japan. 37:13-21
Although still rare, video instructional materials which can be used over a network are on the increase. One of the reasons for the rarity of video instructional materials is thought to be the time and effort necessary for video editing. In this pape
Autor:
Suguru Matsuyoshi, Kentaro Inui, Koji Murakami, Asuka Sumida, Yuji Matumoto, Shouko Masuda, Eric Nichols
Publikováno v:
WICOW
In this paper we introduce Statement Map, a project designed to help users navigate the vast amounts of information on the internet and come to informed opinions on topics of interest. It does this by mining the Web for a variety of viewpoints and pr
Autor:
Asuka Sumida, Ichiro Yamada, Masaki Murata, Jun'ichi Kazama, Francis Bond, Kow Kuroda, Kentaro Torisawa, Stijn De Saeger
Publikováno v:
EMNLP
This paper presents a new method of developing a large-scale hyponymy relation database by combining Wikipedia and other Web documents. We attach new words to the hyponymy database extracted from Wikipedia by using distributional similarity calculate
Autor:
Kentaro Inui, Chitose Sao, Asuka Sumida, Megumi Eguchi, Shuya Abe, Hiraku Morita, Koji Murakami, Kazuo Hara, Suguru Matsuyoshi
Publikováno v:
Web Intelligence
This paper proposes a new UGC-oriented language technology application, which we call experience mining. Experience mining aims at automatically collecting instances of personal experiences as well as opinions from an explosive number of user generat
Autor:
S. De Saeger, Asuka Sumida, Masaki Murata, Kentaro Torisawa, D. Noguchi, Y. Kakizawa, Jun'ichi Kazama
Publikováno v:
ISUC
With this research we present a system that suggests valuable complementary information relevant to a user's topic of interest, in the form of keywords. For this purpose we have automatically constructed a Web search directory called TORISHIKI-KAI fr
Publikováno v:
INTERSPEECH
This paper proposes a method of segmentation that segments lecture videomaterial into subtopics based on speech signals for creation of educational video contents. To represent subtopics of video segments, the text recognized by automatic speech reco