krystalan/K-SportsSum
WSDM‘2022: Knowledge Enhanced Sports Game Summarization
This project helps sports journalists, content creators, and sports analysts quickly generate news-style summaries of sports games. It takes raw, live game commentary and, using its large dataset of game information and player/team knowledge, condenses it into concise news reports. This is useful for anyone needing to rapidly produce high-quality game summaries for media, blogs, or internal reporting.
No commits in the last 6 months.
Use this if you need to automate the process of converting verbose live sports commentary into professional, news-style summaries.
Not ideal if you're looking for a fully pre-built, plug-and-play application, as this project provides datasets and models that require technical implementation.
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18
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Language
Python
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Last pushed
Jun 16, 2022
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