Large-Scale Transfer Learning for Natural Language Generation
Sergey Golovanov, Rauf Kurbanov, Sergey Nikolenko, Kyryl Truskovskyi, Alexander Tselousov, Thomas Wolf · 2019
Large-scale pretrained language models define state of the art in natural language processing, achieving outstanding performance on a variety of tasks.We study how these architectures can be applied and adapted for natural language generation, comparing a number of architectural and training schemes.We focus in particular on open-domain dialog as a typical high entropy generation task, presenting and comparing different architectures for adapting pretrained models with state of the art results.