The E2E NLG Challenge: A Tale of Two Systems
2018-11-01WS 2018Unverified0· sign in to hype
Charese Smiley, Elnaz Davoodi, Dezhao Song, Frank Schilder
Unverified — Be the first to reproduce this paper.
ReproduceAbstract
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.