Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
NLC |
2011-07-07 13:10 |
Tokyo |
IBM Japan, Ltd. |
A Time-Line Extraction from Story Sentence Hiroki Takimoto, Noriyuki Okumura (NNCT) NLC2011-1 |
Recently, the story sentences that the copyright disappeared came to be shown on Web publicly. On the other hand, it bec... [more] |
NLC2011-1 pp.1-6 |
NLC |
2011-07-07 13:35 |
Tokyo |
IBM Japan, Ltd. |
An Extraction Method of Causal Knowledge from Newspaper Corpus Hiroki Sakaji, Shigeru Masuyama (TUT) NLC2011-2 |
This paper proposes a method that extracts causal knowledge from news paper articles via clue expressions.
Our method d... [more] |
NLC2011-2 pp.7-10 |
NLC |
2011-07-07 14:00 |
Tokyo |
IBM Japan, Ltd. |
Trial of KDD from Accident Report Hirotsugu Minowa, Yoshiomi Munesawa, Kazuhiko Suzuki (Okayama Univ.) NLC2011-3 |
[more] |
NLC2011-3 pp.11-13 |
NLC |
2011-07-07 14:35 |
Tokyo |
IBM Japan, Ltd. |
Total Environment for Text Data Mining
-- TETDM project -- Wataru Sunayama (Hiroshima City Univ.), Yasufumi Takama (Tokyo Metropolitan Univ.), Danushka Bollegala, Yoko Nishihara (The univ. of Tokyo), Hidekazu Tokunaga (Kagawa Nat Coll. of Tech.), Muneo Kushima (Univ. of Miyazaki Hospital), Mitsunori Matsushita (Kansai Univ.) NLC2011-4 |
In TETDM project, we develop and distribute an integrated environment to flexibly combine multiple text mining technique... [more] |
NLC2011-4 pp.15-20 |
NLC |
2011-07-07 15:00 |
Tokyo |
IBM Japan, Ltd. |
Visualization method for text classification to assist interpretation of the results Osamu Segawa (CEPCO), Kazuhiko Murakami, Masaki Mizuno, Munehiro Furusato (Chuden CTI) NLC2011-5 |
We have developed a visualization technique for text classification and clustering. First, in this paper, we propose a v... [more] |
NLC2011-5 pp.21-24 |
NLC |
2011-07-07 15:25 |
Tokyo |
IBM Japan, Ltd. |
Text mining system STM based on semantic analysis Minoru Harada (AGU) NLC2011-6 |
[more] |
NLC2011-6 pp.25-30 |
NLC |
2011-07-07 16:05 |
Tokyo |
IBM Japan, Ltd. |
Detecting potential issues based on typical problem description Takuma Murakami, Tetsuya Nasukawa (IBM) NLC2011-7 |
One of typical goals of text mining is to detect potential problems from a document set of natural language. This paper ... [more] |
NLC2011-7 pp.31-35 |
NLC |
2011-07-07 16:30 |
Tokyo |
IBM Japan, Ltd. |
Automatic Acquisition of Japanese Unknown Words from Text Yugo Murawaki, Sadao Kurohashi (Kyoto Univ.) NLC2011-8 |
In Japanese morphological analysis, it is usually assumed that words in
text are listed in a pre-defined dictionary.
... [more] |
NLC2011-8 pp.37-42 |
NLC |
2011-07-07 16:55 |
Tokyo |
IBM Japan, Ltd. |
A Trial on "Social Profile" Analysis and Classification
-- As an Elementary Technology for Understanding Information Behavior of Soclai Media Users -- Yoshikatsu Haruki (Ferris Univ.), Yayoi Tanaka (Kanagawa Univ.), Taisuke Kamiyama (Seijo Univ.) NLC2011-9 |
In the present study, it reports on the finding that analyzes, and classifies a social profile as the basic data to catc... [more] |
NLC2011-9 pp.43-48 |
NLC |
2011-07-08 09:40 |
Tokyo |
IBM Japan, Ltd. |
Logics Before Language
-- For a new civilization and human -- Kimiaki Tokumaru (system engineer) NLC2011-10 |
Western Logics has been treating only propositions. In Japan, where no academic society for logics exists, and, in gener... [more] |
NLC2011-10 pp.49-54 |
NLC |
2011-07-08 10:05 |
Tokyo |
IBM Japan, Ltd. |
Text mining method using knowledge sharing database
-- toward a planning of MOT strategy -- Masaaki Yamamoto, Fumio Komoda (Saitama Univ.) NLC2011-11 |
Due to globalization, equivocal knowledge including customer needs/various economic affairs in addition to R&D activitie... [more] |
NLC2011-11 pp.55-60 |
NLC |
2011-07-08 10:40 |
Tokyo |
IBM Japan, Ltd. |
Analysis of Search Results using Double Rank Method Sachio Hirokawa (Kyushu Univ.) NLC2011-12 |
[more] |
NLC2011-12 pp.61-65 |
NLC |
2011-07-08 11:05 |
Tokyo |
IBM Japan, Ltd. |
Feature Extraction using Restricted Boot Strapping Sachio Hirokawa (Kyushu Univ.) NLC2011-13 |
[more] |
NLC2011-13 pp.67-72 |
NLC |
2011-07-08 11:30 |
Tokyo |
IBM Japan, Ltd. |
Finding Relation Factor between Descriptive Text and Word Mutsugu Kuboki, Kazuhide Yamamoto (Nagaoka Univ. of Technology) NLC2011-14 |
Web text search is important method of NLP. Generally search method is checking words in text. But, it is not checked in... [more] |
NLC2011-14 pp.73-78 |
NLC |
2011-07-08 13:20 |
Tokyo |
IBM Japan, Ltd. |
[Invited Talk]
Exploiting more than 10 million textual data per year on voice of customers forimproving busines Makoto Ichise (DOCOMO) NLC2011-15 |
[more] |
NLC2011-15 pp.79-83 |
NLC |
2011-07-08 14:30 |
Tokyo |
IBM Japan, Ltd. |
Mining opinions on broadcasting programs, and predicate analysis Takeshi Kobayakawa (NHK) NLC2011-16 |
[more] |
NLC2011-16 pp.85-88 |
NLC |
2011-07-08 14:55 |
Tokyo |
IBM Japan, Ltd. |
Extracting evaluative tuples with structure learning Hajime Morita, Hiroya Takamura, Manabu Okumura (TokyoTech) NLC2011-17 |
[more] |
NLC2011-17 pp.89-93 |
NLC |
2011-07-08 15:20 |
Tokyo |
IBM Japan, Ltd. |
Analyzing Topics of Blogs based on Wikipedia as a Multilingual Knowledge Source Kensaku Makita, Daisuke Yokomoto, Hiroko Suzuki, Takehito Utsuro (Univ. of Tsukuba), Yasuhide Kawada (Navix), Tomohiro Fukuhara (AIST) NLC2011-18 |
Given a search query, most existing search engines simply return a
ranked list of search results. However, it is ofte... [more] |
NLC2011-18 pp.95-100 |
NLC |
2011-07-08 16:00 |
Tokyo |
IBM Japan, Ltd. |
Potentials of Web Sensors in Correlation with Earthquake Statistics Shun Hattori (Tokyo Univ. of Tech) NLC2011-19 |
Many researches on mining the explosively-growing Web, especially CGM (Consumer Generated Media) such as Weblogs, for kn... [more] |
NLC2011-19 pp.101-106 |
NLC |
2011-07-08 16:25 |
Tokyo |
IBM Japan, Ltd. |
Finacial Market Forecats by Text Mining of Economic Reports Kiyoshi Izumi (Univ. of Tokyo), Takashi Goto (The Bank of Tokyo-Mitsubishi UFJ, Ltd.), Tohgoroh Matsui (Chubu Uni.) NLC2011-20 |
In this study, we proposed a new text-mining methods for long-term market analysis using market reports published by fin... [more] |
NLC2011-20 pp.107-111 |