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Committee Date Time Place Paper Title / Authors Abstract Paper #
NLC 2014-06-15
11:05		 Fukuoka Kyushu Institute of Technology Using text mining techniques to analyze free answer questions
Yinjun Hu, Yasuo Tanida (Synergy Marketing) NLC2014-14		 This paper presents a method for free answer classi cation and summarization by using text mining techniques. For the co... [more] NLC2014-14
pp.75-79
NLC 2012-12-19
16:20		 Tokyo Ookayama Campasu, Tokyo Institute of Technology Recognizing Variations of Japanese "Good Morning" Phrases in Twitter
Yoshinari Fujinuma (Univ. of Tokyo), Hikaru Yokono (NII), Pascual Martinez-Gomez, Akiko Aizawa (Univ. of Tokyo/NII) NLC2012-39		 Recently, the rapid growth of Consumer Generated Media (CGM) such as Twitter introduced much expressive variations and i... [more] NLC2012-39
pp.35-40
NLC, TL 2011-10-10
13:50		 Okayama Bldg. of Graduate School NST Okayama Univ. A Rule-based Method of Text Normalization for Casual English
Eleanor Clark, Kenji Araki (Hokkaido Univ.) TL2011-27 NLC2011-24		 This research introduces an experimental system for the automated normalization of casual, irregularly-formed English us... [more] TL2011-27 NLC2011-24
pp.11-16
MI 2009-01-20
17:35		 Overseas National Taiwan University Speeded Up Feature Extraction for CT Image Based on Integral Image Technique
Shao-Hu Peng, Hyun-Soo Kim, Deok-Hwan Kim (Inha Univ.) MI2008-130		 As a classic texture feature for image classification, the SGLDM is widely employed in medical image analysis. However, ... [more] MI2008-130
pp.319-324
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