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Towards Automated Let's Play Commentary

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arxiv 1809.09424 v1 pith:DFRCS2XW submitted 2018-09-25 cs.AI

Matthew Guzdial , Shukan Shah , Mark Riedl This is my paper · ORCID
classification cs.AI
keywords commentaryframeworkplaytowardsanalysisassumptionsautomatedbuild
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We introduce the problem of generating Let's Play-style commentary of gameplay video via machine learning. We propose an analysis of Let's Play commentary and a framework for building such a system. To test this framework we build an initial, naive implementation, which we use to interrogate the assumptions of the framework. We demonstrate promising results towards future Let's Play commentary generation.

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  1. Automated Let's Play Commentary

    cs.CL 2019-09 conditional novelty 4.0 of 10

    A CNN predicts sentence-embedded commentary from Minecraft frames slightly better than a clustered baseline, but the output is retrieved from training sentences and both methods score near worst-case error.

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