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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 25  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
AI 2022-07-04
15:40
Hokkaido
(Primary: On-site, Secondary: Online)
Developing a Part-Oriented Aspect Term Extractor for Part-Specific Review Classification
Shogo Anda, Masato Kikuchi, Tadachika Ozono (NIT) AI2022-13
Aspect term extraction is the extraction of terms representing entities and attributes in the target domain of sentiment... [more] AI2022-13
pp.66-71
NLC, IPSJ-ICS 2021-07-02
13:50
Online Online Corpus construction for topic-based summarization of multi-party conversation
Yuri Nakayama, Tsukasa Shiota, Kazutaka Shimada (Kyutech) NLC2021-4
In this paper, we report corpus construction and topic-based summarization methods for multi-party conversation.
We hav... [more]
NLC2021-4
pp.19-24
NLC, IPSJ-DC 2018-09-06
17:20
Tokyo Seikei University Latent co-occurrence words graph extraction using sparse structure estimation -- Comparison of word vectors between topic model and distributed representation --
Norimitsu Kubono, Nozomi Hiyoshi, Daiju Akashi (PERSOL CAREER) NLC2018-19
We are considering application of "structural topic model" in order to extract customer insight from member questionnai... [more] NLC2018-19
pp.51-56
DE 2018-06-22
10:30
Tokyo LIFULL Co., Ltd. [Short Paper] Marketing Analysis of New Character Products by Text Mining -- Case on Disneyland --
Reona Okano, Yukari Shirota (Gakushuin Univ) DE2018-2
people become so sensitive when they offer their new character product to the market. At the start period, it will be mo... [more] DE2018-2
pp.5-7
DE 2016-09-13
17:10
Kanagawa Keio Univ. (Hiyoshi Campus) Item Recommendation Method for Collaborative Filtering Based on Empathy with Reviewers
Daichi Minami, Taketoshi Ushiama (Kyushu Univ.) DE2016-17
Today, it has become difficult for people to find books that fulfill their preference because the number of books in the... [more] DE2016-17
pp.31-36
NLC 2015-02-05
13:00
Osaka T.O.G Extracting Similar Documents by Eigenvector Algorithm
Shoko Kato, Kazumi Saito (Univ. of Shizuoka), Kazuhiro Kazama (Wakayama Univ.) NLC2014-46
In this paper, we extract some similar documents from large number of text documents
by calculating eigenvector of doc... [more]
NLC2014-46
pp.11-16
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
DE 2014-09-11
16:10
Tokyo NII、12F Room1208, 1210 Topic Extraction from the Financial and Economical Monthly Reports by using LDA -- Japanese Economical Climate Analysis just after the East-Japan Great Earthquake --
Yuriko Yano, Risa Hayashi, Yukari Shirota (Gakushuin University), Takako Hashimoto (Chiba University of Commerce), Tamaki Sakura (JCER) DE2014-36
We conducted a topic extraction from the financial and economical monthly reports by Bank of Japan to analyze the time s... [more] DE2014-36
pp.75-78
DE 2014-09-11
16:35
Tokyo NII、12F Room1208, 1210 Topic Extraction from the Financial and Economical Monthly Reports by using LDA -- Japanese Economical Climate Analysis of the Second Abe Cabinet Period --
Asako Matsuda, Kazuma Okaishi, Yukari Shirota (Gakushuin University), Takako Hashimoto (Chiba Univ. of Commerce), Tamaki Sakura (JCER) DE2014-37
We conducted a topic extraction from the financial and economical monthly reports by Bank of Japan to analyze the time s... [more] DE2014-37
pp.79-84
DE 2014-06-21
14:55
Tokyo Ricoh IT Solutions Recommendation system for live discussion channels on internet
Yukako Tsujihata, Yamato Miyashita, Masato Yamanouchi, Naohisa Ohta (Keio Univ.) DE2014-11
In this paper,we propose a recommendation system for live discussion channels on Internet. Because of the large number o... [more] DE2014-11
pp.39-44
ET 2013-11-22
15:50
Fukushima Aizu University Design of Methods for Extracting the E-mail Discussion Processes Considering Diversity of Response Granularity
Hiroki Nakayama, Ryo Onuma, Hiroaki Kaminaga (Fukushima Univ.), Youzou Miyadera, Setsuo Yokoyama (Tokyo Gakugei Univ.), Shoichi Nakamura (Fukushima Univ.) ET2013-67
Discussion using e-mail is frequently conducted in intelligent works such as research activity. Although it is important... [more] ET2013-67
pp.53-58
IBISML 2013-11-12
15:45
Tokyo Tokyo Institute of Technology, Kuramae-Kaikan [Poster Presentation] A Study On Multiple Matrix Factorization
Masahiro Kohjima, Kenji Esaki, Noriko Takaya, Hiroshi Sawada (NTT) IBISML2013-50
In this study, we propose new matrix factorization methods for multiple matrices. The research to analyze multiple data ... [more] IBISML2013-50
pp.107-114
PRMU 2013-02-21
10:30
Osaka   Topic extraction about 3D constitution for occlusion boundary detection
Kazuhiko Murasaki, Kyoko Sudo, Yukinobu Taniguchi (NTT) PRMU2012-132
In this paper, we propose a new method to detect occlusion boundaries and estimate depth ordering along them. To tackle ... [more] PRMU2012-132
pp.13-18
ET 2012-03-10
15:10
Kagawa   Presentation Slide Composition Support Based on Conflict Detection between Estimated Topic Structure and Author's Intention
Fumihiro Yamazoe, Tomoko Kojiri (Kansai Univ) ET2011-109
Nowadays, we often use presentation slide to present our ideas. When generating slides, it is difficult to consider rela... [more] ET2011-109
pp.51-56
AI 2011-11-21
16:20
Fukuoka   Automatic Event Determination Method from Keywords
Nao Yamamoto (Waseda Univ.), Shin-ya Sato (NTT), Toshiharu Sugawara (Waseda Univ.) AI2011-27
We propose the technique to determine whether or not a set of keywords expresses the event that actually happened. In re... [more] AI2011-27
pp.59-63
ET 2011-11-04
14:15
Okinawa   Algorithms for Extracting Email-based Discussions Processes with Diverse Description Styles
Hiroki Nakayama, Ryo Onuma (Fukushima Univ.), Youzou Miyadera, Setsuo Yokoyama (Tokyo Gakugei Univ.), Shoichi Nakamura (Fukushima Univ.) ET2011-62
Discussion using e-mail is frequently conducted in intelligent works such as research activity. Although there have been... [more] ET2011-62
pp.37-42
PRMU, FM 2010-12-09
09:30
Yamaguchi   Automatic Audio Tagging and Retrieval Using Semi-Surpervised Canonical Density Estimation
Jun Takagi (Tokyo Tech.), Yasunori Ohishi, Akisato Kimura (NTT), Masashi Sugiyama, Makoto Yamada (Tokyo Tech.), Hirokazu Kameoka (NTT) PRMU2010-126
We apply SSCDE (semi-supervised canonical density estimation), asemi-supervised learning method based on topic modeling,... [more] PRMU2010-126
pp.1-6
ET 2010-11-26
10:55
Tokyo Tokyo Institute of Technology Development of a Support System for Grasping Discussion Processes from E-mails
Hiroki Nakayama (Fukushima Univ.), Youzou Miyadera, Setsuo Yokoyama (Tokyo Gakugei Univ.), Shoichi Nakamura (Fukushima Univ.) ET2010-52
This research aims to develop support methods for grasping discussion transition processes from e-mails. This paper main... [more] ET2010-52
pp.19-24
ET 2010-11-26
15:55
Tokyo Tokyo Institute of Technology Algorithms for Cooperative Extraction of Remarkable Positions and Page Clusters in Topic Transition Processes on the Web
Shoichi Nakamura, Tomoyuki Iguchi, Hiroaki Kaminaga (Fukushima Univ.), Setsuo Yokoyama, Youzou Miyadera (Tokyo Gakugei Univ.) ET2010-62
This project has aimed to develop methods for extracting topic transition processes. This paper describes algorithms for... [more] ET2010-62
pp.77-82
ET 2009-10-09
14:05
Hokkaido Hakodate National College of Technology Methods for Extracting the Discussion Processes from E-mails in Utterance Level and its Preliminary Evaluations
Hiroki Nakayama (Fukushima Univ.), Youzou Miyadera, Setsuo Yokoyama (Tokyo Gakugei Univ.), Shoichi Nakamura (Fukushima Univ.) ET2009-36
This research proposes methods for extracting the discussion processes from e-mails. We aim to extract the discussion pr... [more] ET2009-36
pp.21-26
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