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A Community-Driven Data-to-Text Platform for Football Match Summaries

Title
A Community-Driven Data-to-Text Platform for Football Match Summaries
Type
Article in International Conference Proceedings Book
Year
2024
Authors
Fernandes, P
(Author)
Other
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Sérgio Nunes
(Author)
FEUP
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Santos, L
(Author)
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Conference proceedings International
Pages: 164-173
Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
Torino, 2024
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Publicação em Scopus Scopus - 0 Citations
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Authenticus ID: P-010-FY9
Abstract (EN): Data-to-text systems offer a transformative approach to generating textual content in data-rich environments. This paper describes the architecture and deployment of Prosebot, a community-driven data-to-text platform tailored for generating textual summaries of football matches derived from match statistics. The system enhances the visibility of lower-tier matches, traditionally accessible only through data tables. Prosebot uses a template-based Natural Language Generation (NLG) module to generate initial drafts, which are subsequently refined by the reading community. Comprehensive evaluations, encompassing both human-mediated and automated assessments, were conducted to assess the system's efficacy. Analysis of the community-edited texts reveals that significant segments of the initial automated drafts are retained, suggesting their high quality and acceptance by the collaborators. Preliminary surveys conducted among platform users highlight a predominantly positive reception within the community.
Language: English
Type (Professor's evaluation): Scientific
No. of pages: 9
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