Characterizing Variation in Crowd-Sourced Data for Training Neural Language Generators to Produce Stylistically Varied Outputs

Juraj Juraska, Marilyn A. Walker. Characterizing Variation in Crowd-Sourced Data for Training Neural Language Generators to Produce Stylistically Varied Outputs. In Emiel Krahmer, Albert Gatt, Martijn Goudbeek, editors, Proceedings of the 11th International Conference on Natural Language Generation, Tilburg University, The Netherlands, November 5-8, 2018. pages 441-450, Association for Computational Linguistics, 2018. [doi]

Abstract

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