Towards Automated Let's Play Commentary

作者: Matthew Guzdial , Shukan Shah , Mark Riedl

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摘要: 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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