MCS: An In-battle Commentary System for MOBA Games
Xiaofeng Qi, Chao Li, Zhongping Liang, Jigang Liu, Cheng Zhang, Yuanxin Wei, Lin Yuan, Guang Yang, Lanxiao Huang, Min Li
Abstract
This paper introduces a generative system for in-battle real-time commentary in mobile MOBA games. Event commentary is important for battles in MOBA games, which is applicable to a wide range of scenarios like live streaming, e-sports commentary and combat information analysis. The system takes real-time match statistics and events as input, and an effective transform method is designed to convert match statistics and utterances into consistent encoding space. This paper presents the general framework and implementation details of the proposed system, and provides experimental results on large-scale real-world match data.- Anthology ID:
- 2022.coling-1.262
- Volume:
- Proceedings of the 29th International Conference on Computational Linguistics
- Month:
- October
- Year:
- 2022
- Address:
- Gyeongju, Republic of Korea
- Editors:
- Nicoletta Calzolari, Chu-Ren Huang, Hansaem Kim, James Pustejovsky, Leo Wanner, Key-Sun Choi, Pum-Mo Ryu, Hsin-Hsi Chen, Lucia Donatelli, Heng Ji, Sadao Kurohashi, Patrizia Paggio, Nianwen Xue, Seokhwan Kim, Younggyun Hahm, Zhong He, Tony Kyungil Lee, Enrico Santus, Francis Bond, Seung-Hoon Na
- Venue:
- COLING
- SIG:
- Publisher:
- International Committee on Computational Linguistics
- Note:
- Pages:
- 2962–2967
- Language:
- URL:
- https://aclanthology.org/2022.coling-1.262
- DOI:
- Bibkey:
- Cite (ACL):
- Xiaofeng Qi, Chao Li, Zhongping Liang, Jigang Liu, Cheng Zhang, Yuanxin Wei, Lin Yuan, Guang Yang, Lanxiao Huang, and Min Li. 2022. MCS: An In-battle Commentary System for MOBA Games. In Proceedings of the 29th International Conference on Computational Linguistics, pages 2962–2967, Gyeongju, Republic of Korea. International Committee on Computational Linguistics.
- Cite (Informal):
- MCS: An In-battle Commentary System for MOBA Games (Qi et al., COLING 2022)
- Copy Citation:
- PDF:
- https://aclanthology.org/2022.coling-1.262.pdf
Export citation
@inproceedings{qi-etal-2022-mcs,
title = "{MCS}: An In-battle Commentary System for {MOBA} Games",
author = "Qi, Xiaofeng and
Li, Chao and
Liang, Zhongping and
Liu, Jigang and
Zhang, Cheng and
Wei, Yuanxin and
Yuan, Lin and
Yang, Guang and
Huang, Lanxiao and
Li, Min",
editor = "Calzolari, Nicoletta and
Huang, Chu-Ren and
Kim, Hansaem and
Pustejovsky, James and
Wanner, Leo and
Choi, Key-Sun and
Ryu, Pum-Mo and
Chen, Hsin-Hsi and
Donatelli, Lucia and
Ji, Heng and
Kurohashi, Sadao and
Paggio, Patrizia and
Xue, Nianwen and
Kim, Seokhwan and
Hahm, Younggyun and
He, Zhong and
Lee, Tony Kyungil and
Santus, Enrico and
Bond, Francis and
Na, Seung-Hoon",
booktitle = "Proceedings of the 29th International Conference on Computational Linguistics",
month = oct,
year = "2022",
address = "Gyeongju, Republic of Korea",
publisher = "International Committee on Computational Linguistics",
url = "https://aclanthology.org/2022.coling-1.262",
pages = "2962--2967",
abstract = "This paper introduces a generative system for in-battle real-time commentary in mobile MOBA games. Event commentary is important for battles in MOBA games, which is applicable to a wide range of scenarios like live streaming, e-sports commentary and combat information analysis. The system takes real-time match statistics and events as input, and an effective transform method is designed to convert match statistics and utterances into consistent encoding space. This paper presents the general framework and implementation details of the proposed system, and provides experimental results on large-scale real-world match data.",
}
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%0 Conference Proceedings %T MCS: An In-battle Commentary System for MOBA Games %A Qi, Xiaofeng %A Li, Chao %A Liang, Zhongping %A Liu, Jigang %A Zhang, Cheng %A Wei, Yuanxin %A Yuan, Lin %A Yang, Guang %A Huang, Lanxiao %A Li, Min %Y Calzolari, Nicoletta %Y Huang, Chu-Ren %Y Kim, Hansaem %Y Pustejovsky, James %Y Wanner, Leo %Y Choi, Key-Sun %Y Ryu, Pum-Mo %Y Chen, Hsin-Hsi %Y Donatelli, Lucia %Y Ji, Heng %Y Kurohashi, Sadao %Y Paggio, Patrizia %Y Xue, Nianwen %Y Kim, Seokhwan %Y Hahm, Younggyun %Y He, Zhong %Y Lee, Tony Kyungil %Y Santus, Enrico %Y Bond, Francis %Y Na, Seung-Hoon %S Proceedings of the 29th International Conference on Computational Linguistics %D 2022 %8 October %I International Committee on Computational Linguistics %C Gyeongju, Republic of Korea %F qi-etal-2022-mcs %X This paper introduces a generative system for in-battle real-time commentary in mobile MOBA games. Event commentary is important for battles in MOBA games, which is applicable to a wide range of scenarios like live streaming, e-sports commentary and combat information analysis. The system takes real-time match statistics and events as input, and an effective transform method is designed to convert match statistics and utterances into consistent encoding space. This paper presents the general framework and implementation details of the proposed system, and provides experimental results on large-scale real-world match data. %U https://aclanthology.org/2022.coling-1.262 %P 2962-2967
Markdown (Informal)
[MCS: An In-battle Commentary System for MOBA Games](https://aclanthology.org/2022.coling-1.262) (Qi et al., COLING 2022)
- MCS: An In-battle Commentary System for MOBA Games (Qi et al., COLING 2022)
ACL
- Xiaofeng Qi, Chao Li, Zhongping Liang, Jigang Liu, Cheng Zhang, Yuanxin Wei, Lin Yuan, Guang Yang, Lanxiao Huang, and Min Li. 2022. MCS: An In-battle Commentary System for MOBA Games. In Proceedings of the 29th International Conference on Computational Linguistics, pages 2962–2967, Gyeongju, Republic of Korea. International Committee on Computational Linguistics.