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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 20  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
HCGSYMPO
(2nd)
2023-12-11
- 2023-12-13
Fukuoka Asia pacific Import Mart (Kitakyushu)
(Primary: On-site, Secondary: Online)
A method for visualizing causal relationships between topics in news articles to grasp their changes over time
Koki Sugihara, Reon Hata, Mitsunori Matsushita (Kandai Univ.)
News reported over a long period undergoes various changes, making it difficult for users who begin reading it later to ... [more]
HCS 2023-01-21
14:25
Kyoto Kyoto Institute of Technology
(Primary: On-site, Secondary: Online)
Causal relationship between university students' social media usage and subjective well-being during the COVID-19 pandemic -- Examination through longitudinal survey --
Shaoyu Ye (Univ. of Tsukuba) HCS2022-59
(To be available after the conference date) [more] HCS2022-59
pp.24-29
NLC 2021-09-16
09:10
Online Online An Attempt to Extraction of Cause-Effect Expressions by Sequence-Labeling
Hiroki Sakaji, Kiyoshi Izumi (The Univ. of Tokyo), Atsuo Kato (DIR), Shintaro Nagao (DAM) NLC2021-6
In this research, we propose a method for extracting cause-effect expressions using the general language model and clue ... [more] NLC2021-6
pp.1-4
NLC 2021-09-16
10:00
Online Online A causal relation extraction among distant texts using deep learning
Pengju Gao, Tomohiro Yamasaki, Masahiro Ito (TOSHIBA) NLC2021-8
Most of the Existing methods for causal relationship extraction utilize patterns such as clue expressions, but it is dif... [more] NLC2021-8
pp.11-16
CAS, MSS, IPSJ-AL [detail] 2017-11-17
10:40
Tokyo   Quantitative safety assessment of telemedicine using the MCCA
Kenji Fujita, Toshiaki Aoki, Kunihiko Hiraishi (JAIST) CAS2017-52 MSS2017-36
In patients with chronic obstructive pulmonary disease, the results of an investigation that anxiety becomes a risk fact... [more] CAS2017-52 MSS2017-36
pp.89-94
MSS, SS 2017-01-26
10:00
Kyoto Kyoto Institute of Technology Analysis on effort datasets by causal-effect relationship using LiNGAM
Masanari Kondo, Osamu Mizuno (Kyoto Inst. Tech.) MSS2016-57 SS2016-36
The effort estimation is an important task in the software development. Previous research works proposed models using m... [more] MSS2016-57 SS2016-36
pp.1-6
ET 2016-03-05
17:50
Kagawa Kawaga Univ. (Saiwai-cho Campus) Evaluation of Understanding Support System for Causal Relationship in Historical Learning
Fumito Nate (Kansai Univ.), Keitaro Tokutake (Hiroo Gakuen), Tomoko Kojiri (Kansai Univ.) ET2015-147
The purpose of this study is to support understanding of causal relationship between historical events. When two events ... [more] ET2015-147
pp.303-308
HCS 2016-01-23
11:00
Nara Yamato Kaigishitsu The Causal Relationship between College Students' Media Usage and their Internet Literacy -- A Longitudinal Study --
Shaoyu Ye, Atsushi Toshimori (Univ. of Tsukuba), Tatsuya Horita (Tohoku Univ.) HCS2015-72
This study aims to investigate the causalities between college students’ media usage and their Internet literacy, includ... [more] HCS2015-72
pp.79-84
AI 2015-12-04
11:35
Fukuoka Kyutech-Salite Issue Tracking System Using Data Jacket in the Same Business
Hitomi Yanaka, Yukio Ohsawa (Tokyo Univ.) AI2015-16
An issue tracking system is a computer software system that manages and maintains lists of issues. Some issues are commo... [more] AI2015-16
pp.23-27
SSS 2015-10-20
17:10
Tokyo   [Invited Talk] Proof of causal relationship and relief of sufferers -- the problem of low-frequency noise from heat pump type water heaters for home use --
Ryo Shimizu (UT) SSS2015-18
The report concerned with the problem of low-frequency noise from heat pump type water heaters for home use was submitte... [more] SSS2015-18
pp.25-28
NLC 2015-09-10
13:35
Tokyo Convention Room AP Shibuya-Dogenzaka (Tokyo) Research Information Mining -- Utilization of Academic Paper Archives as Big Data --
Osamu Segawa (CEPCO) NLC2015-20
We have investigated a possibility of utilization on academic paper archives as big data (knowledge resource). In this p... [more] NLC2015-20
pp.19-24
SWIM 2014-11-29
11:45
Tokyo Tokyo Polytechnic Univ. Proposal of CLD downsizing to extract trouble making structures of business over Multi-stakeholders
Erika Tanaka, Haruko Nagaoka, koichiro Miyamoto (Hitachi) SWIM2014-19
We have developed analysis and modeling techniques of business structure using the CLD (Causal Loop Diagram) to analyze ... [more] SWIM2014-19
pp.29-34
TL 2013-08-04
10:30
Osaka Kwansei Gakuin University, Osaka Umeda Campus Optional Reanalysis in Relative Clause Association Ambiguity in Japanese
Toshiyuki Yamada, Yuki Hirose (Univ. of Tokyo) TL2013-30
This study investigated whether the sentence-final verb triggers optional/unforced reanalysis in the processing of relat... [more] TL2013-30
pp.93-98
EMM 2013-03-08
09:30
Kyoto   Acquirement and usage causal relationship contained in multi-modal information
Ryutaro Nishimura, Osamu Hasegawa (Tokyo Inst. of Tech.) EMM2012-114
This study is aimed at development available method for estimation causal relationship in multi-modal information in rob... [more] EMM2012-114
pp.41-46
NLC 2012-08-31
10:00
Kanagawa Fuji Xerox A study on extraction of related terms and their visualization from trouble incident reports
Osamu Segawa (CEPCO), Kazuhiko Murakami, Munehiro Furusato (Chuden CTI) NLC2012-17
We have developed a analysis method for trouble incident reports on our intra-system using text mining technique. These ... [more] NLC2012-17
pp.41-44
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 2011-01-27
15:50
Ishikawa Kanazawa Univ. Text mining system STM based on semantic analysis
Minoru Harada, Ryou Ishida, Kazuhiro Yamanishi, Yoshiki Kanda (Aoyama Gakuin Univ.) NLC2010-35
Current text mining based on the analysis on surface information of the morpheme and dependency among words cannot under... [more] NLC2010-35
pp.29-34
NLC, IPSJ-NL 2010-07-23
11:30
Miyagi Tohoku Univeristy Determining Causal Relation at Sentences in Newspaper Articles
Hiroki Sakaji, Shigeru Masuyama, Hiroyuki Sakai (Toyohashi Univ. of Tech.) NLC2010-4
We propose a method for determining causal relation in newspaper sentences with clue expressions.

Clue expressions in... [more]
NLC2010-4
pp.47-50
TL 2008-12-13
16:15
Tottori Tottori Univ. Emotive Information Discovery from User Textual Input Using Emotion Expression Element and Web Mining
Shi Wenhan, Michal Ptaszynski, Rafal Rzepka, Kenji Araki (Hokkaido Univ.) TL2008-49
In the last few years there has been a rapid development in computerisation. Human lives depend on computers more and mo... [more] TL2008-49
pp.31-34
DE 2006-07-13
13:05
Niigata HOTEL SENKEI Extraction of causal relations by analyzing blog communities
Shinya Takami, Katsumi Tanaka (Kyoto Univ.)
The influence that a certain topic exerts may get into the news in a specific community. General consumers often discuss... [more] DE2006-87
pp.221-226
 Results 1 - 20 of 20  /   
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