Transformer-based Live Update Generation for Soccer Matches from Microblog Posts
This work addresses the need for real-time sports updates from tweets to enhance viewing experiences for soccer fans, though it appears incremental as it builds on existing language models with added control mechanisms.
The paper tackles the problem of generating live soccer match updates from diverse tweets by proposing a system based on a large pre-trained language model with mechanisms to control update frequency and reduce redundancy, achieving improved update generation as indicated in the 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.