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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| IBISML, NC, IPSJ-BIO, IPSJ-MPS [detail] | 2024-06-21 14:45 |
Okinawa | OIST | Self-Organizing Method for Word Embedding Hongyi Zhang, Yukari Yamauchi (NU)  NC2024-22 IBISML2024-22 |
In natural language processing, word embedding is essential for vectorizing word features. Mikolov et al. proposed Word2... [more] | NC2024-22 IBISML2024-22 pp.140-145 |
| 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 |
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