@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://preview.aclanthology.org/ingestion-acl-25/2025.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."
}