Papers by Xiangqun Chen

    1 papers
    MOBA-E2C: Generating MOBA Game Commentaries via Capturing Highlight Events from the Meta-Data (2022.findings-emnlp)

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    Challenge: e-sports game competitions lack commentators because of the shortage of professional human commentators.
    Approach: They propose a data-driven MOBA commentary generation framework for MOBA games . they use a rule-based generator and a generative GPT generator to generate commentaries .
    Outcome: The proposed model generates commentaries based on the game meta-data and a rule-based generator and generative GPT generator.

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