Automatic Evaluation of Discussion Quality Using Topic Relevance and Participants' Performance-Reference-Cited by-同舟云学术

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Automatic Evaluation of Discussion Quality Using Topic Relevance and Participants' Performance

Published:2022-12 Issue: Volume: Page:
ISSN:
Container-title:2022 International Conference on Technologies and Applications of Artificial Intelligence (TAAI)
language:
Short-container-title:

Author:

Nishihara Yoko¹,Sunayama Wataru²,Imashiro Shiho³

Affiliation:

1. College of Information Science and Engineering Ritsumeikan University,Shiga,Japan

2. School of Engineering The University of Shiga Prefecture,Shiga,Japan

3. Institute for Organizational Behavior Research Recruit Management Solutions Co., Ltd.,Tokyo,Japan

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10056427/10056431/10056525.pdf?arnumber=10056525

Reference12 articles.

1. Automatic Extraction of Discussion based on Sentence Type Estimation

2. An intelligent discussion-bot for answering student queries in threaded discussions

3. Kinect-based Behavior Measurement in Group Discussion

4. Automatically assessing the post quality in online discussions on software

5. Discussion Forum Analyzer: A tool for finding the quality of affirmation and identifying points of intervention in an academic discussion forum

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