@inproceedings{mori-etal-2025-live,
title = "Live Football Commentary System Providing Background Information",
author = "Mori, Yuichiro and
Tanaka, Chikara and
Maekawa, Aru and
Kosugi, Satoshi and
Ishigaki, Tatsuya and
Funakoshi, Kotaro and
Takamura, Hiroya and
Okumura, Manabu",
editor = "Mishra, Pushkar and
Muresan, Smaranda and
Yu, Tao",
booktitle = "Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations)",
month = jul,
year = "2025",
address = "Vienna, Austria",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2025.acl-demo.38/",
doi = "10.18653/v1/2025.acl-demo.38",
pages = "394--404",
ISBN = "979-8-89176-253-4",
abstract = "Previous research on sports commentary generation has primarily focused on describing major events in the match.However, real-world commentary often includes comments beyond what is visible in the video content, e.g., ``Florentina has acquired him for 7 million euros.{''}For enhancing the viewing experience with such background information,we developed an audio commentary system for football matches that generates utterances with background information, as well as play-by-play commentary.Our system first extracts visual information, and determines whether it is an appropriate timing to produce an utterance.Then it decides which type of utterance to generate: play-by-play or background information. In the latter case, the system leverages external knowledge through retrieval-augmented generation."
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<abstract>Previous research on sports commentary generation has primarily focused on describing major events in the match.However, real-world commentary often includes comments beyond what is visible in the video content, e.g., “Florentina has acquired him for 7 million euros.”For enhancing the viewing experience with such background information,we developed an audio commentary system for football matches that generates utterances with background information, as well as play-by-play commentary.Our system first extracts visual information, and determines whether it is an appropriate timing to produce an utterance.Then it decides which type of utterance to generate: play-by-play or background information. In the latter case, the system leverages external knowledge through retrieval-augmented generation.</abstract>
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%0 Conference Proceedings
%T Live Football Commentary System Providing Background Information
%A Mori, Yuichiro
%A Tanaka, Chikara
%A Maekawa, Aru
%A Kosugi, Satoshi
%A Ishigaki, Tatsuya
%A Funakoshi, Kotaro
%A Takamura, Hiroya
%A Okumura, Manabu
%Y Mishra, Pushkar
%Y Muresan, Smaranda
%Y Yu, Tao
%S Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations)
%D 2025
%8 July
%I Association for Computational Linguistics
%C Vienna, Austria
%@ 979-8-89176-253-4
%F mori-etal-2025-live
%X Previous research on sports commentary generation has primarily focused on describing major events in the match.However, real-world commentary often includes comments beyond what is visible in the video content, e.g., “Florentina has acquired him for 7 million euros.”For enhancing the viewing experience with such background information,we developed an audio commentary system for football matches that generates utterances with background information, as well as play-by-play commentary.Our system first extracts visual information, and determines whether it is an appropriate timing to produce an utterance.Then it decides which type of utterance to generate: play-by-play or background information. In the latter case, the system leverages external knowledge through retrieval-augmented generation.
%R 10.18653/v1/2025.acl-demo.38
%U https://aclanthology.org/2025.acl-demo.38/
%U https://doi.org/10.18653/v1/2025.acl-demo.38
%P 394-404
Markdown (Informal)
[Live Football Commentary System Providing Background Information](https://aclanthology.org/2025.acl-demo.38/) (Mori et al., ACL 2025)
ACL
- Yuichiro Mori, Chikara Tanaka, Aru Maekawa, Satoshi Kosugi, Tatsuya Ishigaki, Kotaro Funakoshi, Hiroya Takamura, and Manabu Okumura. 2025. Live Football Commentary System Providing Background Information. In Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations), pages 394–404, Vienna, Austria. Association for Computational Linguistics.