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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| ICM | 2024-03-22 09:10 |
Okinawa | Okinawa Prefectural Museum and Art Museum (Primary: On-site, Secondary: Online) |
Proposal of an implication relationship estimation method for information security related regulatory documents Kouki Nakanishi, Tkakani ikuko, Sakamoto Masanobu, Ohishi Haruo (NTT)  ICM2023-51 |
In recent years, internal controls regarding information security have become increasingly important from the perspectiv... [more] | ICM2023-51 pp.35-40 |
| KBSE | 2024-03-15 11:25 |
Okinawa | Okinawa Prefectual General Welfare Center (Primary: On-site, Secondary: Online) |
Research on Automatic Dialogue Correction Considering Character's Distinctive Way of Speaking in Novels Mei Matsuura, Yutaka Matsuno (Nihon Univ.) KBSE2023-85 |
In scenario works such as novels, manga, and games, it is important to maintain consistent expression in order to mainta... [more] | KBSE2023-85 pp.108-113 |
| NLP, MSS | 2024-03-13 15:00 |
Misc. | Kikai-Shinko-Kaikan Bldg. | Formal Concept Analysis of Traffic Accidents Factors using Traffic Accident Summaries Haruto Murakami, Kazutoshi Sakakibara, Masaki Nakamura, Tatsuro Motoyoshi, Keisuke Hoshikawa (Toyama Prefectural Univ.) MSS2023-79 NLP2023-131 |
The purpose of this study is to support police activities targeting elderly pedestrians and other vulnerable road users,... [more] | MSS2023-79 NLP2023-131 pp.42-47 |
| NLP, MSS | 2024-03-13 17:20 |
Misc. | Kikai-Shinko-Kaikan Bldg. | Application of Data Augmentation in Japanese Foundation Models Kazuki Era, Hidehiro Nakano (Tokyo City Univ.) MSS2023-84 NLP2023-136 |
One of the recent topics is data augmentation. Data augmentation is a method of augmenting training data to improve the ... [more] | MSS2023-84 NLP2023-136 pp.66-69 |
| 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 |
| AI | 2024-03-01 14:40 |
Aichi | Room0221, Bldg.2-C, Nagoya Institute of Technology | Request span extraction from dialog with Heterogeneous Graph Attention Networks Naoki Mizumoto, Katsuhide Fujita (TUAT) AI2023-41 |
In this study, we formulate the problem of extracting user requests from the dialogue history as a ``span extraction pro... [more] | AI2023-41 pp.25-30 |
| 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 |
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| KBSE | 2024-01-23 15:20 |
Kagoshima | (Primary: On-site, Secondary: Online) |
Automatic support to emphasize texts using document processing technology Misaki Yokota (Waseda Univ.), Junko Shirogane (tokyo woman's christian Univ.), Hajime Iwata (Kanagawa Institute of Technology), Yoshiaki Fukazawa (Waseda Univ.) KBSE2023-54 |
Important information is commonly conveyed by emphasizing texts in an article. This helps readers easily grasp key point... [more] | KBSE2023-54 pp.19-24 |
| KBSE | 2024-01-24 09:10 |
Kagoshima | (Primary: On-site, Secondary: Online) |
Datetime Feature Recommendation System by Using Data Column Names Satoshi Masuda, Tomohiro Takeda (TCU) KBSE2023-58 |
Analysis to gain new knowledge from huge amounts of data is called data science, and its widespread use is now socially ... [more] | KBSE2023-58 pp.43-48 |
| ET | 2024-01-20 15:55 |
Kyoto | Kyoto University Yoshida Campus / Online (Primary: On-site, Secondary: Online) |
Difficulty-Controllable Question Generation of Reading Comprehension incorporating Answerability Evaluation Mechanism Ayaka Suzuki, Masaki Uto (UEC) ET2023-51 |
Question generation (QG) for reading comprehension is a technology for automatically generating questions related to giv... [more] | ET2023-51 pp.38-44 |
| 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 |
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| ET | 2023-11-11 09:10 |
Kagawa | Kagawa University Saiwai-cho (Main) Campus / Online (Primary: On-site, Secondary: Online) |
Joint Generation of Questions and Reference Answers for Reading Comprehension with Difficulty-Controllability Teruyoshi Goto, Yuto Tomikawa, Masaki Uto (UEC) ET2023-24 |
Recently, deep learning techniques have been employed to automatically generate reading comprehension questions tailored... [more] | ET2023-24 pp.1-7 |
| ET | 2023-11-11 14:50 |
Kagawa | Kagawa University Saiwai-cho (Main) Campus / Online (Primary: On-site, Secondary: Online) |
Uncertainty Estimation in Neural Automatic Scoring Applying Multitask Learning of Regression and Classification Yuto Takahashi, Masaki Uto (UEC) ET2023-31 |
In writing tests, grading by humans can be expensive and is not always sufficiently accurate. To resolve this problem, a... [more] | ET2023-31 pp.40-46 |
| DE, IPSJ-DBS, IPSJ-IFAT [detail] | 2023-09-22 09:00 |
Fukuoka | Kitakyushu International Conference Center | DE2023-18 |
(To be available after the conference date) [more] | DE2023-18 pp.42-47 |
| DE, IPSJ-DBS, IPSJ-IFAT [detail] | 2023-09-22 13:00 |
Fukuoka | Kitakyushu International Conference Center | Character dialogue system considering the character appearance image Keito Fukuoka, Miyamori Hisashi (Kyoto Sangyo Univ.) DE2023-25 |
Dialogue systems are useful for increasing communication opportunities for the elderly and people living alone. In parti... [more] | DE2023-25 pp.84-88 |
| NLC | 2023-09-07 10:45 |
Osaka | Osaka Metropolitan University. Nakamozu Campus. (Primary: On-site, Secondary: Online) |
Ramen Restaurant Recommendation System by Automatic Generation of Reviews Yota Amano, Kengo Enami, Hiroyuki Sakai (SEIKEI Univ.) NLC2023-10 |
In this research, we propose a method for recommending ramen restaurants by automatically generating reviews. Our method... [more] | NLC2023-10 pp.51-56 |
| SS, KBSE, IPSJ-SE [detail] | 2023-07-22 11:00 |
Hokkaido | (Primary: On-site, Secondary: Online) |
Extracting User Needs for Personalized Smart Services Using Dialogue Agent with LLM Takuya Nakata, Sinan Chen (Kobe Univ.), Sachio Saiki (Kochi Univ. of Tech.), Masahide Nakamura (Kobe Univ.) SS2023-19 KBSE2023-30 |
Research on service personalization involves approaches such as machine learning and dialogue agents, but the explainabi... [more] | SS2023-19 KBSE2023-30 pp.104-109 |
| NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] | 2023-06-30 14:20 |
Okinawa | OIST Conference Center (Primary: On-site, Secondary: Online) |
Analogy Tasks in BioConceptVec using Biological Pathways Hiroaki Yamagiwa, Ryoma Hashimoto (Kyoto Univ.), Kiwamu Arakane, Ken Murakami (IPR), Momose Oyama, Hidetoshi Shimodaira (Kyoto Univ.), Mariko Okada (IPR) NC2023-18 IBISML2023-18 |
Natural language processing (NLP), often employing models like skip-gram, is widely utilized across numerous application... [more] | NC2023-18 IBISML2023-18 pp.113-120 |
| NLC, IPSJ-NL | 2023-03-18 16:00 |
Okinawa | OIST (Primary: On-site, Secondary: Online) |
A Study on the Acceptance and Usefulness of NLG in Tanka Poetry Toru Urakawa, Takuro Niitsuma, Yuya Taguchi, Hideaki Tamori (Asahi Shimbun), Naoaki Okazaki (Tokyo Tech), Kentaro Inui (Tohoku Univ./RIKEN) NLC2022-27 |
Recent developments in neural generative models have given rise to practical applications in a variety of fields, and re... [more] | NLC2022-27 pp.44-49 |
| 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 |
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