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        <title>Transformer-based Live Update Generation for Soccer Matches from Microblog Posts</title>
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        <namePart type="given">Masashi</namePart>
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    <name type="personal">
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            <title>Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing</title>
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    <abstract>It has been known to be difficult to generate adequate sports updates from a sequence of vast amounts of diverse live tweets, although the live sports viewing experience with tweets is gaining the popularity. In this paper, we focus on soccer matches and work on building a system to generate live updates for soccer matches from tweets so that users can instantly grasp a match’s progress and enjoy the excitement of the match from raw tweets. Our proposed system is based on a large pre-trained language model and incorporates a mechanism to control the number of updates and a mechanism to reduce the redundancy of duplicate and similar updates.</abstract>
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    <identifier type="doi">10.18653/v1/2023.emnlp-main.624</identifier>
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%0 Conference Proceedings
%T Transformer-based Live Update Generation for Soccer Matches from Microblog Posts
%A Oshika, Masashi
%A Yamada, Kosuke
%A Sasano, Ryohei
%A Takeda, Koichi
%Y Bouamor, Houda
%Y Pino, Juan
%Y Bali, Kalika
%S Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
%D 2023
%8 December
%I Association for Computational Linguistics
%C Singapore
%F oshika-etal-2023-transformer
%X It has been known to be difficult to generate adequate sports updates from a sequence of vast amounts of diverse live tweets, although the live sports viewing experience with tweets is gaining the popularity. In this paper, we focus on soccer matches and work on building a system to generate live updates for soccer matches from tweets so that users can instantly grasp a match’s progress and enjoy the excitement of the match from raw tweets. Our proposed system is based on a large pre-trained language model and incorporates a mechanism to control the number of updates and a mechanism to reduce the redundancy of duplicate and similar updates.
%R 10.18653/v1/2023.emnlp-main.624
%U https://aclanthology.org/2023.emnlp-main.624
%U https://doi.org/10.18653/v1/2023.emnlp-main.624
%P 10100-10106

Markdown (Informal)

[Transformer-based Live Update Generation for Soccer Matches from Microblog Posts](https://aclanthology.org/2023.emnlp-main.624) (Oshika et al., EMNLP 2023)

• Transformer-based Live Update Generation for Soccer Matches from Microblog Posts (Oshika et al., EMNLP 2023)

ACL

• Masashi Oshika, Kosuke Yamada, Ryohei Sasano, and Koichi Takeda. 2023. Transformer-based Live Update Generation for Soccer Matches from Microblog Posts. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 10100–10106, Singapore. Association for Computational Linguistics.