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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 74  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
NS, SR, RCS, SeMI, RCC
(Joint)
2022-07-15
10:40
Ishikawa The Kanazawa Theatre + Online
(Primary: On-site, Secondary: Online)
A Method for Selecting Training Data using Topic Models and Doc2Vec for Automatic Test Cases Generation
Yuto Fujita, Kiyoshi Ueda (Nihon Univ.)
(To be available after the conference date) [more] NS2022-52
pp.121-126
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
PRMU, IPSJ-CVIM 2022-03-11
09:45
Online Online A Study on Understanding the Meaning of Adverbs by Frequency Spectrum Analysis Using Gaussian Process
Tomoe Taniguchi (Ochanomizu Univ.), Daichi Mochihashi (ISM), Masatoshi Nagano, Tomoaki Nakamura (UEC), Takayuki Nagai (Osaka Univ.), Tetsunari Inamura (NII), Ichiro Kobayashi (Ochanomizu Univ.) PRMU2021-74
In this study, we attempt to understand the meaning of adverbs through the features of human actions.
Specifically, the... [more]
PRMU2021-74
pp.91-96
IBISML 2022-03-09
14:55
Online Online Infinite SCAN: Joint Estimation of Changes and the Number of Word Senses with Gaussian Markov Random Fields
Seiichi Inoue, Mamoru Komachi (TMU), Toshinobu Ogiso (NINJAL), Hiroya Takamura (AIST), Daichi Mochihashi (ISM) IBISML2021-47
In this study, we propose a hierarchical Bayesian model that can automatically estimate the number of senses for each wo... [more] IBISML2021-47
pp.61-68
IE, ITS, ITE-AIT, ITE-ME, ITE-MMS [detail] 2022-02-21
10:45
Online Online User Satisfaction Prediction for Dialogue System in Mental Health Interventions
Shengzhou Yi (UTokyo), Toshiaki Kikuchi (Keio), Toshihiko Yamasaki (UTokyo) ITS2021-25 IE2021-34
Mental health conditions deeply impact all areas of the life. Too much stress, most of which is related to work performa... [more] ITS2021-25 IE2021-34
pp.1-6
PRMU 2020-09-02
10:00
Online Online A method for clarifying differences between feature distributions of various solutions about topic model
Toshio Uchiyama, Tsukasa Hokimoto (HIU) PRMU2020-8
Probabilistic Latent Semantic Analysis and Latent Dirichlet analysis are
known as topic models to analyze text data an... [more]
PRMU2020-8
pp.1-6
NLP, NC
(Joint)
2020-01-25
14:30
Okinawa Miyakojima Marine Terminal Expert User-Item Modeling Each Topics Based on Tensor SOM and Latent Dirichlet Allocation
Tatsuya Kanatsu, Tetsuo Furukawa, Kaori Yoshida (Kyutech) NC2019-74
User-item modeling is the foundation of recommendation systems. In this paper, we propose a method of building a set of ... [more] NC2019-74
pp.83-88
IN, IA
(Joint)
2019-12-19
14:50
Hiroshima Satellite Campus Hiroshima Improving Network Log Analysis by Semantics
Kazuki Otomo (Univ. Tokyo), Satoru Kobayashi, Kensuke Fukuda (NII), Hiroshi Esaki (Univ. Tokyo) IA2019-49
System logs are important for network operation. However, automatic log analysis is difficult because the logs are large... [more] IA2019-49
pp.7-12
PRMU 2019-12-20
10:00
Oita   Analysis method and results of solution diversity about topic model
Toshio Uchiyama, Tsukasa Hokimoto (HIU) PRMU2019-54
Probabilistic Latent Semantic Analysis and Latent Dirichlet analysis are
known as topic models to analyze text data an... [more]
PRMU2019-54
pp.49-54
TL 2019-09-29
14:35
Hokkaido National Institute of Technology, Hakodate College Hidden-word detection based on distributed representations and the topic model
Wei Yilun, Lao Yingying, Han Dongli (Nihon Univ.) TL2019-39
In natural language analysis, there is a phenomenon called hidden-word that can be an obstacle. Most previous studies de... [more] TL2019-39
pp.11-15
IBISML 2018-11-05
15:10
Hokkaido Hokkaido Citizens Activites Center (Kaderu 2.7) [Poster Presentation] In-Hospital Mortality Prediction for Trauma Patients Using Cost-Sensitive MedLDA
Haruya Ishizuka, Tsukasa Ishigaki, Naoya Kobayashi, Daisuke Kudo, Atsuhiro Nakagawa (Tohoku Univ.) IBISML2018-75
In the field of emergency medical care, decision support systems, which support doctors’ judgements, have attracted. Acc... [more] IBISML2018-75
pp.233-240
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
PRMU, SP 2018-06-28
16:30
Nagano   Analysis of solution diversity about topic model
Toshio Uchiyama (HIU) PRMU2018-26 SP2018-6
A Topic model is known as a useful statistical model for analyzing text
data and images. Many different parameters (s... [more]
PRMU2018-26 SP2018-6
pp.25-30
KBSE 2018-05-26
10:15
Tokyo Kikai-Shinko-Kaikan Bldg. Adjusting dependency-based software clusters using semantic cohesion
Keisuke Yano, Akihiko Matsuo (Fujitsu Labs.) KBSE2018-9
Software clustering techniques have been used to divide a software system into smaller parts. Especially, dependency-bas... [more] KBSE2018-9
pp.43-48
HCS 2018-03-14
14:20
Miyagi Research Institute of Electrical Communication, Tohoku University Affection on User's Empathy Caused by Text Content
Kazunori MAtsumoto, Kazushi Ikeda, Syunichi Tahara, Keiichirou Hoashi (KDDI Research Labs.) HCS2017-115
(To be available after the conference date) [more] HCS2017-115
pp.131-137
SS 2018-03-06
16:30
Okinawa   Toward Visualization of Discussions about Software Quality in OSS Development
Shunta Nakanishi, Eunjong Choi, Hajimu Iida (NAIST) SS2017-70
To reduce software development cost, Open Source software (OSS) is frequently used in software development companies. Ho... [more] SS2017-70
pp.35-38
IBISML 2018-03-05
16:35
Fukuoka Nishijin Plaza, Kyushu University Classification of Intra-Week and Intra-Day Walking Patterns and Their Effect on Body-Composition Changes Using A Hierarchical Model
Shunichi Nomura (ISM), Michiko Watanabe, Yuko Oguma (Keio Univ.) IBISML2017-95
In this study, we extract intra-week and intra-day activity patterns based on hourly step-count data recorded using an a... [more] IBISML2017-95
pp.35-40
ET 2018-03-03
14:25
Kochi Kochi University of Technology (Eikokuji Campus) Construction of Latent Needs Visualization Agent Based on a Hierarchical Topic Model
Yusuke Kometani (Kagawa Univ.), Takashi Satoh (The Univ. of Kitakyushu) ET2017-98
In troubleshooting process it is effective to make visible the root cause and its corresponding solution of problems tha... [more] ET2017-98
pp.53-58
ET 2018-01-27
14:50
Hyogo Kobe Univ. Development of Latent Needs Visualization Agent for Supporting IT Troubleshooting Process within a University
Yusuke Kometani (Kagawa Univ.), Takashi Satoh (The Univ. of Kitakyushu) ET2017-85
In troubleshooting process it is effective to make visible the root cause and its corresponding solution of problems tha... [more] ET2017-85
pp.31-36
IA 2018-01-26
10:55
Tokyo Kikai-Shinko-Kaikan Bldg. Investigating influences of delivery method switching procedures on Pub/Sub infrastructure utilizing SDN
Ryosuke Morifusa, Toyokazu Akiyama (Kyoto Sangyo Univ.) IA2017-65
Topic-based Pub/Sub communication model is widely used in SNS and IoT. SAPS(SDN Aware Pub/Sub) was proposed as a distrib... [more] IA2017-65
pp.1-6
 Results 1 - 20 of 74  /  [Next]  
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