Toward Collaborative Game Commentating Utilizing Pre-Trained Generative Language Models-Reference-Cited by-同舟云学术

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Toward Collaborative Game Commentating Utilizing Pre-Trained Generative Language Models

Published:2022-01-07 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE International Conference on Consumer Electronics (ICCE)
language:
Short-container-title:

Author:

Xu Junjie H.¹,Huang Hong¹,Ling Xiaoling²,Paliyawan Pujana³

Affiliation:

1. Graduate School of Comprehensive Human Sciences, University of Tsukuba,Tsukuba,Ibaraki,Japan

2. University of British Columbia,Faculty of Arts,Vancouver,British Columbia,Canada

3. Research Organization of Science and Technology, Ritsumeikan University,Kusatsu,Shiga,Japan

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9730107/9730121/09730353.pdf?arnumber=9730353

Reference12 articles.

1. Generating racing game commentary from vision, language, and structured data;ishigaki;Proceedings of the 14th International Conference on Natural Language Generation,0

2. Fine-Grained Video Captioning for Sports Narrative

3. BLEU

4. Promoting Mental Well-Being for Audiences in a Live-Streaming Game by Highlight-Based Bullet Comments

5. Rouge: A package for automatic evaluation of summaries;lin;Text Summarization Branches Out,2004

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