Jigang Liu


2022

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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
Proceedings of the 29th International Conference on Computational Linguistics

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.