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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| ET | 2024-01-20 15:30 |
Kyoto | Kyoto University Yoshida Campus / Online (Primary: On-site, Secondary: Online) |
Scenario-Based Dialogue AI using ChatGPT with Response Redundancy Feedback Mechanism for Objective Structured Clinical Examination Naoki Shindo, Masaki Uto (UEC)  ET2023-50 |
[more] | ET2023-50 pp.32-37 |
| 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 |
| 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 |
| ET, IPSJ-CLE | 2023-06-17 14:35 |
Tokyo | Tokyo Metropolitan University (Primary: On-site, Secondary: Online) |
Estimation feasibility for scores of student's characteristics using essay texts during a fully online class Minoru Nakayama (TokyoTech), Masaki Uto (UEC), Satoru Kikuchi, Hiroh Yamamoto (Shinshu Univ.) ET2023-4 |
The possibility of predicting scores representing student’s characteristics from their essay texts using a machine learn... [more] | ET2023-4 pp.1-4 |
| ET | 2022-11-05 15:45 |
Online | Online | Estimation possibility for scores of essay and critical thinking disposition using the report texts Minoru Nakayama (Tokyo Tech.), Masaki Uto (UEC), Satoru Kikuchi, Hiroh Yamamoto (Shinshu Univ.) ET2022-39 |
Sentences in 6 sets of student's essay and comments were analysed in order to determine a possibility of automated acori... [more] | ET2022-39 pp.55-58 |
| ET | 2022-10-15 15:10 |
Saga | Saga University and Online (Primary: On-site, Secondary: Online) |
Program code development performance estimation using a peer assessment technique Minoru Nakayama (Tokyo Tech.), Masaki Uto (UEC), Marco Temperini (Sapienza Univ.), Filippo Sciarrone (Univ. Mercatorum) ET2022-26 |
Assessment for teaching programming skills is often employed a peer assessment for code sets as a performance assessme... [more] |
ET2022-26 pp.29-34 |
| ET | 2021-12-11 13:00 |
Online | Online | Development of trait-based neural automated essay scoring incorporating multidimensional item response theory Takumi Shibata, Masaki Uto (UEC) ET2021-33 |
In recent years, deep neural network (DNN)-based automated essay scoring (AES) models that can simultaneously predict th... [more] | ET2021-33 pp.23-28 |
| ET | 2021-11-06 11:05 |
Online | Online | Program code development performance estimation using a peer assessment technique Minoru Nakayama (Tokyo Tech.), Masaki Uto (UEC), Macro Temperini (Sapienza Univ.), Filippo Sciarrone (Roma Tre Univ.) ET2021-23 |
Peer assessment data in open answer session of programming language practices were analyzed with the item response the... [more] |
ET2021-23 pp.7-12 |
| ET | 2020-03-07 11:25 |
Kagawa | National Institute of Technology, Kagawa Collage (Cancelled but technical report was issued) |
A feasibility of performance assessment using a large scale data set of mutual evaluation Minoru Nakayama (TokyoTech), Masaki Uto (UEC), Filippo Sciarrone (uniroma3), Marco Temperini (Sapienza) ET2019-79 |
Learning performance is often evaluated using a peer assessment setting such as MOOC environment. Their feasibility and ... [more] | ET2019-79 pp.19-22 |
| IBISML | 2017-11-09 13:00 |
Tokyo | Univ. of Tokyo | [Poster Presentation]
Learning huge Bayesian networks using RAI algorithm based on Bayes factor Kazuki Natori, Masaki Uto, Maomi Ueno (UEC) IBISML2017-58 |
``Learning Bayesian networks'' has NP-hard problem. The state-of-the-arts method of learning Bayesian networks cannot le... [more] | IBISML2017-58 pp.177-184 |
| ET | 2011-12-09 09:10 |
Shizuoka | Toulmin model based Argumentation Support System using Bayesian Network Masaki Uto (UEC), Hiroaki Suzuki (Aoyama Gakuin Univ.), Maomi Ueno (UEC) ET2011-83 |
The purpose of this study is to develop a system which supports a persuasive argumentation. There are many related syste... [more] | ET2011-83 pp.41-46 |
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