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Going for GOAL: A Resource for Grounded Football Commentaries. (arXiv:2211.04534v1 [cs.CV])
Nov. 10, 2022, 2:15 a.m. | Alessandro Suglia, José Lopes, Emanuele Bastianelli, Andrea Vanzo, Shubham Agarwal, Malvina Nikandrou, Lu Yu, Ioannis Konstas, Verena Rieser
cs.CL updates on arXiv.org arxiv.org
Recent video+language datasets cover domains where the interaction is highly
structured, such as instructional videos, or where the interaction is scripted,
such as TV shows. Both of these properties can lead to spurious cues to be
exploited by models rather than learning to ground language. In this paper, we
present GrOunded footbAlL commentaries (GOAL), a novel dataset of football (or
`soccer') highlights videos with transcribed live commentaries in English. As
the course of a game is unpredictable, so are commentaries, …
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