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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 43  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
SS 2023-03-15
13:45
Okinawa
(Primary: On-site, Secondary: Online)
Improvement of Encoding and Ablation Methods in Fault Localization by Ablation
Takuma Ikeda, Kozo Okano, Shinpei Ogata (Shinshu Univ.), Shin Nakajima (NII) SS2022-67
Spectrum-based Fault Localization (SFL) is a technique to locate faults in source code using execution traces. A method ... [more] SS2022-67
pp.121-126
NLC 2022-09-13
13:20
Kanagawa Keio Univ. Yagami Campus.
(Primary: On-site, Secondary: Online)
Estimation of related keywords based on distributed representation of words and semantic vector operations
Osamu Segawa (Chubu Electric Power), Kazuhiko Murakami (Chuden CTI) NLC2022-4
Formerly, in a text-mining task, several methods based on distribution of words using co-occurrence in observation windo... [more] NLC2022-4
pp.1-4
DC, CPSY, IPSJ-ARC [detail] 2021-10-12
11:30
Online Online An Update Method of Word Embedding using Online Sequential Learning
Hibiki Ito, Hiroki Matsutani (Keio Univ.) CPSY2021-17 DC2021-17
(To be available after the conference date) [more] CPSY2021-17 DC2021-17
pp.31-36
KBSE 2021-03-05
13:05
Online Online Performance Comparison of Natural Language Processing Model for Traceability Link Creation
Soshi Nitta, Hiroyuki Nakagawa, Tatsuhiro Tsuchiya (Osaka Univ.) KBSE2020-34
(To be available after the conference date) [more] KBSE2020-34
pp.1-6
SS 2021-03-04
10:50
Online Online SS2020-39 (To be available after the conference date) [more] SS2020-39
pp.67-72
MVE, IMQ, IE, CQ
(Joint) [detail]
2021-03-01
16:05
Online Online Taste Prediction System from Cooking Images Using Deep Learning
Akinobu Yoshioka, Qiu Chen (kogakuin Univ.) IMQ2020-17 IE2020-57 MVE2020-49
In recent years, a large amount of food images have been uploaded on social media, etc., which have been closed related ... [more] IMQ2020-17 IE2020-57 MVE2020-49
pp.34-39
DE, IPSJ-DBS 2020-12-22
12:40
Online Online DE2020-24 (To be available after the conference date) [more] DE2020-24
pp.42-47
NLC, IPSJ-NL, SP, IPSJ-SLP
(Joint) [detail]
2019-12-04
11:15
Tokyo NHK Science & Technology Research Labs.
Shiori Koga (Kyushu Univ.), Tsunenori Mine (kyushu Univ.), Sachio Hirokawa (Kyushu Univ.) NLC2019-31
Among RNNs, especially LSTM is capable of long-term memory and can be expected to acquire information including better c... [more] NLC2019-31
pp.13-18
NLC, IPSJ-NL, SP, IPSJ-SLP
(Joint) [detail]
2019-12-04
15:05
Tokyo NHK Science & Technology Research Labs. Interpretability of laws related to clinical research with text mining
Ayako Ohshiro, Shinichiro Ueda (Univ. of the Ryukyus) NLC2019-33
Medical staffs have been required comprehension of laws for clinical research, in addition to ordinary medical care and ... [more] NLC2019-33
pp.35-40
AI 2019-11-28
15:15
Fukuoka   Effectiveness of feature selection as pre-processing of LSTM using W2V
Shiori Koga, Tsunenori Mine, Sachio Hirokawa (Kyushu Univ.) AI2019-34
Among RNNs, especially LSTM is capable of long-term memory, and can be expected to acquire information including better ... [more] AI2019-34
pp.25-30
HCS 2019-10-26
10:40
Tokyo Nihon Univ. Predicting Personality based on Ad-Request Logs
Akihiro Kobayashi, Yuichi Ishikawa (KDDI Research Inc.), Shigeru Kuroyanagi (Supership), Atsunori Minamikawa (KDDI Research Inc.) HCS2019-40
Recently role of customers’ personality traits is one of the main topics in advertising technologies. Predicting persona... [more] HCS2019-40
pp.1-6
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
NLC, IPSJ-DC 2019-09-28
17:30
Tokyo Future Corporation Estimating Distributed Expressions of Unknown Compound Word Using Distributed Expressions of Known Words
Ryota Takagi, Kazuhiro Kazama (Wakayama Univ), Takeshi Sakaki (Hotto Link) NLC2019-27
In recent years, the distributed expression, which treats the meaning of a word as a low-dimensional vector expression, ... [more] NLC2019-27
pp.103-108
NLC, IPSJ-DC 2019-09-28
17:55
Tokyo Future Corporation On evaluation of word-embedding models for technical term in space systems
Naoko Okubo, Sho Kurahayashi, Kenji Mori, Kohsuke Namihira, Yasushi Ueda, Masafumi Katahira (JAXA), Toshiyuki Amagasa (Unv. Tsukuba) NLC2019-28
In this paper, we report the examination result of the method to evaluate the quality of the word-em-bedding models with... [more] NLC2019-28
pp.109-114
IMQ, IE, MVE, CQ
(Joint) [detail]
2019-03-15
09:50
Kagoshima Kagoshima University Word Categorization for Estimating Communication Quality by the Use of SNS
Takaaki Kirikae (Waseda Univ.), Kyoko Yamori (Asahi Univ./Waseda Univ.), Yoshiaki Tanaka (Waseda Univ.) CQ2018-108
QoE which is the user experience of communication quality, depends on application, user circumstances, user's purpose, e... [more] CQ2018-108
pp.87-90
NC, MBE
(Joint)
2019-03-04
13:25
Tokyo University of Electro Communications Approximation of inverse embedding function using neural network, and its application for the interpretation of document data distribution
Yuya Mizobuchi, Hirotaka Hachiya (Wakayama Univ.) NC2018-54
Recently, analysing the relation between human and compnies based those related documents such as tweets and web pages.
... [more]
NC2018-54
pp.61-66
IN 2019-01-22
11:15
Aichi WINC AICHI Logical Failure Detection in Question-and-Answer Sessions Towards A Practical Mock Interview System
Kohei Shimizu, Komei Arasawa, Ryohei Watanabe, Shun Hattori (Muroran Inst. of Tech.) IN2018-83
In job hunting, oral interviews are important examinations for job hunters to appeal to their targeted companies and for... [more] IN2018-83
pp.63-68
NLC, IPSJ-NL, SP, IPSJ-SLP
(Joint) [detail]
2018-12-11
14:15
Tokyo Waseda Univ. Nishiwaseda Campus Automatic Extraction of Bilingual Sentences by Similarity based on Earth Mover's Distance using Word Embeddings and Difference of Sentence Length
Ryo Tanoue, Hiroshi Echizen'ya (Hokkai-Gakuen Univ.), Kenji Araki (Hokkaido Univ.) NLC2018-30
In this paper, we propose new method to automatically extract bilingual sentences from comparable corpus without high qu... [more] NLC2018-30
pp.3-8
IBISML 2018-11-05
15:10
Hokkaido Hokkaido Citizens Activites Center (Kaderu 2.7) [Poster Presentation] Transfer Learning Among Time Series Data
Hao Niu, Kei Yonekawa, Mori Kurokawa, Arei Kobayashi (KDDI Research) IBISML2018-101
Time series data are widely used in various fields, and the machine learning on the time series data attracts much resea... [more] IBISML2018-101
pp.425-428
SSS 2018-09-25
14:10
Tokyo   Neural network based cause reclassification of incidents at dispensing in pharmacies.
Yoshiki Kobari (SIT), Masaomi Kimura (Shibaura Inst. of Tech.) SSS2018-21
Incidents in pharmacies are the cases whose causes are common with medical accidents. Most of the root cause of incident... [more] SSS2018-21
pp.9-12
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