論述構造解析を用いたニューラル小論文自動採点手法の提案

Detailed bibliographic record

Summary, etc.：: <p>Automated essay scoring (AES) models based on deep neural networks (DNN) have recently achieved high accuracy. However, conventional neural AES mod...

Holdings of Libraries in Japan

This page shows libraries in Japan other than the National Diet Library that hold the material.

Please contact your local library for information on how to use materials or whether it is possible to request materials from the holding libraries.

other

You can check the details of this material, its authority (keywords that refer to materials on the same subject, author's name, etc.), etc.

Material Type: 記事
Title: 論述構造解析を用いたニューラル小論文自動採点手法の提案
Volume: JSAI2023
0
Author/Editor: 山浦美里
福田樹
宇都雅輝
Author Heading: YAMAURA Misato
山浦美里
FUKUDA Itsuki
福田樹
UTO Masaki
宇都雅輝
Publication Date: 2023
Publication Date (W3CDTF): 2023
Alternative Title: Proposal of Neural Automated Essay Scoring Using Argument Mining
Periodical title: 人工知能学会全国大会論文集
Proceedings of the Annual Conference of JSAI
No. or year of volume/issue: JSAI2023 0
Volume: JSAI2023
Issue: 0
Pages: 3H1GS1002-3H1GS1002
ISSN (Periodical Title): 2758-7347
Alias of Author: YAMAURA Misato
FUKUDA Itsuki
UTO Masaki
Subject Heading: deep learning
argument mining
automated essay scoring
深層学習
論述構造解析
小論文自動採点
Target Audience: 一般
DOI: 10.11517/pjsai.JSAI2023.0_3H1GS1002
Access Restrictions: インターネット公開
Data Provider (Database): 科学技術振興機構 : J-STAGE
http://www.jstage.jst.go.jp