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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| NLC, IPSJ-NL | 2024-03-10 18:55 |
Hyogo | (Primary: On-site, Secondary: Online) |
Language Model for Variable Definition Extraction from Chemical Process-related Papers Shota Kato, Kotaro Nagayama, Manabu Kano (Kyoto Univ.)  NLC2023-25 |
Extracting variable definitions from scientific papers is crucial for understanding and leveraging research findings, ye... [more] | NLC2023-25 pp.13-18 |
| SeMI, IPSJ-UBI, IPSJ-MBL | 2024-03-01 10:10 |
Fukuoka | A PoI Localization Method using Time-series SNS Posts with Photos Kohei Sawano (NAIST), Yuki Matsuda (NAIST/RIKEN AIP), Hiroki Ouchi (NAIST), Hirohiko Suwa, Keiichi Yasumoto (NAIST/RIKEN AIP) SeMI2023-80 |
In recent years, with the easing of COVID-19 movement restrictions, there has been a trend towards the recovery of touri... [more] | SeMI2023-80 pp.54-59 |
|
| MSS, CAS, IPSJ-AL [detail] | 2023-11-17 14:05 |
Okinawa | Facilitating Knowledge Sharing Workshop by Natural Language Processing
-- Application and Evaluation of a Smart Voice Message System in Maintenance Operations -- Riku Ogawa, Moritaro Inoue, Naoshi Uchihira (JAIST) CAS2023-78 MSS2023-48 |
In maintenance and inspection work, the utilization and sharing of tacit knowledge held by workers in the field is impor... [more] | CAS2023-78 MSS2023-48 pp.95-100 |
|
| SS, DC | 2023-10-11 14:55 |
Nagano | (Primary: On-site, Secondary: Online) |
Comparison of Automatic Extraction Methods for Generating Causal Component Models from Software Requirement Specifications Takeki Ninomiya, Masanosuke Ohto, Toshiki Takaoka, Shinpei Ogata, Kozo Okano (Shinshu Univ) SS2023-22 DC2023-28 |
In software development, development proceeds using requirement specifications that describe software requirements in na... [more] | SS2023-22 DC2023-28 pp.7-12 |
| SC | 2023-03-17 11:05 |
Tokyo | NII (Primary: On-site, Secondary: Online) |
Automatic Detection of Fire Causes for Text Mining of Fire Report Kento Matsuba (Kobe Univ.), Sachio Saiki (Kochi Univ. of Tech.), Masahide Nakamura (Kobe Univ.) SC2022-41 |
Fire departments across Japan are facing the retirement of a large number of firefighters. So passing on skills and know... [more] | SC2022-41 pp.16-21 |
| IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] | 2023-02-21 13:15 |
Hokkaido | Hokkaido Univ. | Constructing an ingredient classification model for automatic calculation of nutritional value and environmental impact from user-generated recipes Yoko Yamakata, Liangyu Wang (UTokyo), Eiji Yamasue (Rits), Akiko Sunto (KUHS), Kiyoharu Aizawa (UTokyo) ITS2022-48 IE2022-65 |
In order to calculate rough nutritional values from recipes, this paper proposes a method to link the list of ingredient... [more] | ITS2022-48 IE2022-65 pp.29-34 |
| AI | 2022-12-21 11:40 |
Fukuoka | Modality estimation of reflection texts written in In-house training Makoto Yamada, Tsunenori Mine (Kyushu Univ.) AI2022-37 |
In this study, we propose a modality estimation method for the reflection texts written in in-house training programs. B... [more] | AI2022-37 pp.24-29 |
|
| AI | 2022-12-21 14:10 |
Fukuoka | Application of artificial intelligence techniques to multi-modal data obtained in cognitive behavioral therapy and clinical assessment
-- Identification of mental status and estimation of treatment outcomes -- Yuko Shigeeda (NCNP), Takuichi Nishimura (JAIST), Yoshitake Takebayashi (FMU), Jun Kashihara (TU), Seiji Muranaka (OU), Shun Nakajima (NCNP), Shuntaro Aoki (FMU), Chiaki Oshiyama (JAIST), Yoshihiko Kunisato (SU), Daichi Sugawara (ITF), Takumasa Tsuji, Jun'ichi Kotoku (Teikyo), Hitomi Oi, Kaichi Yabe, So Sugita, Noriko Kato, Masaya Ito (NCNP) AI2022-40 |
We are conducting research within the Area of Scientific Transformation (B), "Ultra-high-definition mental health care T... [more] | AI2022-40 pp.42-45 |
|
| SC | 2022-05-27 15:13 |
Online | Online | [Poster Presentation]
Integrated system for large-scale harvesting and data curation: challenges and prospects Luca Foppiano, Tomoya Mato (MDG, MaDIS, NIMS), Pedro Baptista de Castro, Kensei Terashima, Yoshihiko Takano (NFMG, MANA, NIMS), Masashi Ishii (MDG, MaDIS, NIMS) SC2022-9 |
We are working to create an automatically extracted database of superconductors materials and properties as evolution of... [more] | SC2022-9 p.54 |
| SC | 2022-05-27 15:28 |
Online | Online | [Poster Presentation]
Improving the accuracy of machine translation of sentences including scientific terms Kaoru Kato, Paik Incheon (Aizu Univ.) SC2022-14 |
Machine translation has long been a subject of research as a method of translation. In the past, dictionary-based machin... [more] | SC2022-14 pp.83-87 |
| KBSE | 2022-03-09 14:35 |
Online | Online (Zoom) | Automatic Detection of Fire Causes for Ontology Development for Automatic Understanding of Fire Situation Kento Matsuba, Masahide Nakamura (Kobe Univ.), Sachio Saiki (KUT) KBSE2021-45 |
The fire investigation report prepared by the Kobe City Fire Department contains information on the causes of the fire a... [more] | KBSE2021-45 pp.24-29 |
| SS | 2022-03-07 10:55 |
Online | Online | Automating code review based on source code Akihito Ihara, Toshiki Hirao (NAIST), Kenji Fujiwara (TCU), Hajimu Iida (NAIST) SS2021-43 |
Code review is an important process to assess software quality, where developers manually find bugs, improve existing co... [more] | SS2021-43 pp.7-12 |
| DE | 2021-07-24 10:20 |
Kanagawa | KAIT IT extension center (Hybrid) (Primary: On-site, Secondary: Online) |
[Short Paper]
COVID-19 and biased information dissemination on Twitter Gefei Li (AIST/Waseda Univ.), Yijun Duan, Taehoon Kim, Kyoungsook Kim (AIST) DE2021-4 |
This study aims to examine if Twitter users with a higher level of similarity would have a more similar distribution of ... [more] | DE2021-4 pp.18-21 |
| SC | 2021-05-28 16:15 |
Online | Online | [Poster Presentation]
Improving Machine Translation using Sentence Augmentation by GPT-2 Ranto Sawai, Incheon Paik (UoA) SC2021-10 |
Data Augmentation has become an important method in deep learning in recent years. It is also a significant area in mach... [more] | SC2021-10 pp.50-55 |
| KBSE | 2021-03-05 15:15 |
Online | Online | Building of an Application Reviews Classifier by BERT, and Its Evaluation Yuki Yamada, Atsuo Hazeyama (okyo Gakugei Univ.) KBSE2020-38 |
In the process of software development, feedbacks from users are important for developers. Most of this information tak... [more] |
KBSE2020-38 pp.25-30 |
| AI | 2021-01-27 13:30 |
Online | Online | Automatic Short Answer Scoring using Thesaurus-Based Data Augmentation Hiroyuki Kato (Kyushu Univ.), Tsunenori Ishioka (DNC), Tsunenori Mine (Kyushu Univ) AI2020-15 |
In the field of natural language processing, the invention of large-scale general-purpose language models such as BERT h... [more] | AI2020-15 pp.7-12 |
| MI | 2020-01-29 10:15 |
Okinawa | OKINAWAKEN SEINENKAIKAN | Analysis of disease classification and musculoskeletal anatomy using medical images and radiology reports in a large-scale medical image database Shuhei Honda, Yoshito Otake (NAIST), Masaki Takao (Osaka Univ.), Eiji Aramaki, Shuntaro Yada, Yuta Hiasa (NAIST), Kento Aida, Shinichi Sato (NII), Akihiro Nishie (Kyushu Univ.), Nobuhiko Sugano (Osaka Univ.), Yoshinobu Sato (NAIST) MI2019-69 |
Recently, the environment for the analysis of large databases, such as the large-scale medical image database, have been... [more] | MI2019-69 pp.19-22 |
| NLC, IPSJ-NL, SP, IPSJ-SLP (Joint) [detail] |
2019-12-05 14:30 |
Tokyo | NHK Science & Technology Research Labs. | [Invited Lecture]
A Brief Report of EMNLP-IJCNLP 2019 Taro Miyazaki (NHK) NLC2019-35 |
(To be available after the conference date) [more] | NLC2019-35 p.117 |
| KBSE, SC | 2019-11-08 11:00 |
Nagano | Shinshu University | A Method to Detect Similar Goals between Goal Models using Hierarchy and word2vec Koichi Ishikawa, Shinpei Ogata (Shinshu Univ.), Hiroyuki Nakagawa (Osaka Univ.), Kozo Okano (Shinshu Univ.) KBSE2019-23 SC2019-20 |
The method for software reuse has a problem that can't detect similar goals that described natural language. In this stu... [more] | KBSE2019-23 SC2019-20 pp.1-6 |
| SC | 2019-05-31 10:45 |
Ibaraki | National Institute for Materials Science | Proposal for Automatic Extraction Framework of Superconductors Related Information from Scientific Literature Luca Foppiano, Thaer M. Dieb, Akira Suzuki, Masashi Ishii (NIMS) SC2019-1 |
The automatic collection of materials information from research papers using Natural Language Processing (NLP) is highly... [more] | SC2019-1 pp.1-5 |
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