GOAL: A Challenging Knowledge-grounded Video Captioning Benchmark for Real-time Soccer Commentary Generation

Author:

Qi Ji1ORCID,Yu Jifan1ORCID,Tu Teng1ORCID,Gao Kunyu1ORCID,Xu Yifan1ORCID,Guan Xinyu2ORCID,Wang Xiaozhi1ORCID,Xu Bin1ORCID,Hou Lei1ORCID,Li Juanzi1ORCID,Tang Jie1ORCID

Affiliation:

1. Tsinghua University, Beijing, China

2. Biendata, Beijing, China

Publisher

ACM

Reference27 articles.

1. Satanjeev Banerjee and Alon Lavie . 2005 . METEOR: An automatic metric for MT evaluation with improved correlation with human judgments . In Proceedings of the acl workshop on intrinsic and extrinsic evaluation measures for machine translation and/or summarization. 65--72 . Satanjeev Banerjee and Alon Lavie. 2005. METEOR: An automatic metric for MT evaluation with improved correlation with human judgments. In Proceedings of the acl workshop on intrinsic and extrinsic evaluation measures for machine translation and/or summarization. 65--72.

2. Tom Brown Benjamin Mann Nick Ryder Melanie Subbiah Jared D Kaplan Prafulla Dhariwal Arvind Neelakantan Pranav Shyam Girish Sastry Amanda Askell etal 2020. Language models are few-shot learners. Advances in neural information processing systems 33 (2020) 1877--1901. Tom Brown Benjamin Mann Nick Ryder Melanie Subbiah Jared D Kaplan Prafulla Dhariwal Arvind Neelakantan Pranav Shyam Girish Sastry Amanda Askell et al. 2020. Language models are few-shot learners. Advances in neural information processing systems 33 (2020) 1877--1901.

3. Revisiting the “Video” in Video-Language Understanding

4. ActivityNet: A large-scale video benchmark for human activity understanding

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1. The SoccerSum Dataset for Automated Detection, Segmentation, and Tracking of Objects on the Soccer Pitch;Proceedings of the ACM Multimedia Systems Conference 2024 on ZZZ;2024-04-15

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