Enhancing MOBA Game Commentary Generation with Fine-Grained Prototype Retrieval

Haosen Lai; Jiong Yu; Shuoxin Wang; Dawei Zhang; Sixing Wu; Wei Zhou

doi:10.1007/978-3-031-44696-2_66

ScienceGate Book Chapters

BOOK-CHAPTER

Enhancing MOBA Game Commentary Generation with Fine-Grained Prototype Retrieval

Haosen Lai Jiong Yu Shuoxin Wang Dawei Zhang Sixing Wu Wei Zhou

Year: 2023 Lecture notes in computer science Pages: 850-862 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-031-44696-2_66

Get Full-Text PDF Get Analytical Report

Keywords:

Computer science Metadata Task (project management) Event (particle physics) Baseline (sea) Table (database) Battle Multimedia Information retrieval Human–computer interaction Quality (philosophy) Artificial intelligence World Wide Web Data mining

Metrics

Cited By

0.00

FWCI (Field Weighted Citation Impact)

Refs

0.37

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Topics

Artificial Intelligence in Games

Physical Sciences → Computer Science → Artificial Intelligence

Digital Games and Media

Social Sciences → Social Sciences → Sociology and Political Science

Video Analysis and Summarization

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Enhancing MOBA Game Commentary Generation with Fine-Grained Prototype Retrieval

Metrics

Topics

Related Documents

IRAGKR:Iterative retrieval augmented generation with fine-grained knowledge refinement

Fine-Grained Retrieval with Autoencoders

Fine-Grained Retrieval with Autoencoders

Fine-grained Knowledge Enhancement for Retrieval-Augmented Generation

Enhancing Fine-Grained Image Retrieval with Advanced Embedding and Loss Functions