1 code implementation • NeurIPS 2020 • Chun-Hsing Lin, Siang-Ruei Wu, Hung-Yi Lee, Yun-Nung Chen
Score function-based natural language generation (NLG) approaches such as REINFORCE, in general, suffer from low sample efficiency and training instability problems.
1 code implementation • 27 Nov 2020 • Chun-Hsing Lin, Siang-Ruei Wu, Hung-Yi Lee, Yun-Nung Chen
Score function-based natural language generation (NLG) approaches such as REINFORCE, in general, suffer from low sample efficiency and training instability problems.
no code implementations • 25 Sep 2019 • Chun-Hsing Lin, Alvin Chiang, Chi-Liang Liu, Chien-Fu Lin, Po-Hsien Chu, Siang-Ruei Wu, Yi-En Tsai, Chung-Yang (Ric) Huang
Score-function-based text generation approaches such as REINFORCE, in general, suffer from high computational complexity and training instability problems.