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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| DE, IPSJ-DBS, IPSJ-IFAT | 2024-12-26 13:30 |
Online | Online (Online) |  DE2024-14 |
There are soft clustering methods such as Fuzzy C-means that take into account the possibility of multiple labels belong... [more] | DE2024-14 pp.13-18 |
| HCGSYMPO (2nd) |
2024-12-11 - 2024-12-13 |
Ishikawa | The Kanazawa Theatre (Ishikawa) | Dialogue Support through the Identification of Utterances Crucial for the Listener's Interpretation if Missed Kenshin Nakanishi (Keio Univ.), Tomoyuki Maekawa (Shizuoka Univ.), Michita Imai (Keio Univ.) |
When a listener becomes distracted and misses an important utterance, it can hinder their understanding of the conversat... [more] | |
| NLC | 2024-09-02 17:10 |
Hokkaido | Hokkaido University. The Clark Memorial Student Center. (Hokkaido, Online) (Primary: On-site, Secondary: Online) |
Filter Bubble Detection Model Based on News Recommendation Dataset Shusaku Kita, Tsunenori Mine, Yutaka Arakawa (Kyushu Univ.) NLC2024-11 |
In recent years, the proliferation of recommendation systems that provide content tailored to user preferences has advan... [more] | NLC2024-11 pp.57-62 |
| CNR | 2024-08-01 15:15 |
Hokkaido | Hokkaido University Conference Hall (Hokkaido, Online) (Primary: On-site, Secondary: Online) |
Proposal of a FACS generation model based on speech content using a language model Tatsuto Kobashi, Yosuke Ujigawa, Kazunori Takashio (Keio University) |
This study proposes a model for generating facial expressions from speech text. While previous research has focused on g... [more] | |
| IN, CCS (Joint) |
2024-07-30 10:45 |
Hokkaido | Moerenuma Park Glass Pyramid (Hokkaido) | Visual comparison and examination of how natural language processing models capture color information in latent space Masato Izumi, Kenya jin'no (Tokyo City Univ) CCS2024-36 |
The purpose of this study is to visually compare how different natural language processing (NLP) models with varying arc... [more] | CCS2024-36 pp.44-47 |
| NLP, CCS | 2024-06-07 10:20 |
Fukuoka | West Japan General Exhibition Center AIM (Fukuoka) | Investigating the latent variable space of different natural language processing architectures with generative images Masato Izumi, Kenya Jin'no (Tokyo City Univ) NLP2024-31 CCS2024-18 |
In recent years, AI technologies, particularly natural language processing (NLP) models, have evolved rapidly. However, ... [more] | NLP2024-31 CCS2024-18 pp.74-77 |
| ICM | 2024-03-22 09:10 |
Okinawa | Okinawa Prefectural Museum and Art Museum (Okinawa, Online) (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 (Okinawa, Online) (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. (Misc.) | 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. (Misc.) | 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 |
| AI | 2024-03-01 14:40 |
Aichi | Room0221, Bldg.2-C, Nagoya Institute of Technology (Aichi) | 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 |
| NS, IN (Joint) |
2024-02-29 09:45 |
Okinawa | Okinawa Convention Center (Okinawa) | Communication cost and performance evaluation of each learning method in Federated learning with LLM Takumi Fukami, Yusuke Yamasaki, Iifan Tyou (NTT) IN2023-66 |
In recent years, a large amount of diverse data have been generated by various devices and organisations, and there has ... [more] | IN2023-66 pp.7-12 |
| KBSE | 2024-01-23 15:20 |
Kagoshima | (Kagoshima, Online) (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 | (Kagoshima, Online) (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 |
| ICM, NS, CQ, NV (Joint) |
2023-11-21 17:15 |
Ehime | Ehime Prefecture Gender Equality Center (Ehime, Online) (Primary: On-site, Secondary: Online) |
Generalization of Intent extraction techniques based on multiple use case application demonstrations Hiroaki Kikushima, Chao Wu, Shingo Horiuchi, Kennichi Tayama, Tomoko Shibata (NTT) ICM2023-24 |
NTT Laboratories aims at automatically deriving the quantified Intent for input to the system by the interaction with th... [more] | ICM2023-24 pp.8-13 |
| ET | 2023-11-11 14:50 |
Kagawa | Kagawa University Saiwai-cho (Main) Campus / Online (Kagawa, 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 |
| NLC | 2023-09-07 10:45 |
Osaka | Osaka Metropolitan University. Nakamozu Campus. (Osaka, Online) (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 | (Hokkaido, Online) (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 (Okinawa, Online) (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 |
| SC | 2023-06-03 11:05 |
Fukushima | UBIC 3D Theater, University of Aizu (Fukushima, Online) (Primary: On-site, Secondary: Online) |
[Poster Presentation]
Predicting Depression on Twitter with Word Embedding by Pretrained Language Model Shen Zheqi, Paik Incheon (UoA) SC2023-10 |
Depression is a common mental illness. In the field of Natural Language Processing, the research of how to detect and an... [more] | SC2023-10 pp.53-58 |
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