Human or Machine: Automating Human Likeliness Evaluation of NLG Texts

5 Jun 2020Erion ÇanoOndřej Bojar

Automatic evaluation of various text quality criteria produced by data-driven intelligent methods is very common and useful because it is cheap, fast, and usually yields repeatable results. In this paper, we present an attempt to automate the human likeliness evaluation of the output text samples coming from natural language generation methods used to solve several tasks... (read more)

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