Technical Report for E2E NLG Challenge
2017-12-19E2E NLG Challenge System Descriptions 2017Unverified0· sign in to hype
Heng Gong
Unverified — Be the first to reproduce this paper.
ReproduceAbstract
This paper describes the primary system submitted by the author to the E2E NLG Challenge on the E2E Dataset (Novikova et al. (2017)). Based on the baseline system called TGen (Dusek and Jurcicek (2016)), the primary system uses REINFORCE to utilize multiple reference for single Meaning Representation during training, while the baseline model treated them as individual training instances.