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Committee Date Time Place Paper Title / Authors Abstract Paper #
NLC 2015-02-05
12:10		 Osaka T.O.G Class-Instance Acquisition using Automatically Extracted Hyponymy Relations
Ichiro Yamada, Taro Miyazaki, Masaru Miyazaki, Kikuka Miura, Atsushi Matsui, Hideki Tanaka (NHK) NLC2014-44		 Class-instance relation is useful for information extraction from large volume of text. For example, we can determine wh... [more] NLC2014-44
pp.1-6
NLC, IPSJ-NL, SP, IPSJ-SLP, JSAI-SLUD
(Joint) [detail]		 2014-12-17
15:35		 Kanagawa Tokyo Institute of Technology (Suzukakedai Campus) Link Generation for TV Programs based on Semantic Relations between Words
Kikuka Miura, Ichiro Yamada, Taro Miyazaki, Masaru Miyazaki, Atsushi Matsui, Naoto Kato, Hideki Sumiyoshi, Hideki Tanaka (NHK) NLC2014-42		 Broadcast stations need to manage TV programs effectively, not only by superficial meta-data: broadcast date and time, g... [more] NLC2014-42
pp.105-110
NLC 2009-01-27
14:20		 Okayama   Extraction of the Repeat-Phrases in Closed Captions for Scene Segmentation of TV Programs
Kikuka Miura (NHK), Ichiro Yamada (NICT), Takeshi Kobayakawa, Atsushi Matsui, Jun Goto, Hideki Sumiyoshi, Masahiro Shibata (NHK) NLC2008-80		 We can reuse video segments effectively on searching videos from a huge amount of TV programs if each video has metadata... [more] NLC2008-80
pp.53-58
NLC 2006-07-27
15:50		 Hokkaido Future University Hakodate Detection of Text Sections which contain typical forms from Closed Captions using AdaBoost Algorism
Ichiro Yamada, Kikuka Miura, Hideki Sumiyoshi, Nobuyuki Yagi (NHK), Manabu Okumura, Takenobu Tokunaga (Tokyo Institute of Technology) 		In the closed captions, there are a lot of typical expressions to express specific things, for example, first introducti... [more] NLC2006-5
pp.25-30
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