The E2E NLG Challenge: A Tale of Two Systems

Charese Smiley, Elnaz Davoodi, Dezhao Song, Frank Schilder

Abstract: This paper presents the two systems we entered into the 2017 E2E NLG Challenge: TemplGen, a templated-based system and SeqGen, a neural network-based system. Through the automatic evaluation, SeqGen achieved competitive results compared to the template-based approach and to other participating systems as well. In addition to the automatic evaluation, in this paper we present and discuss the human evaluation results of our two systems.