“DialoGPT: Large-Scale Generative Pre-Training for Conversational Response Generation”, 2019-11-01 (; similar):
We present a large, tunable neural conversational response generation model, DialoGPT (dialogue generative pre-trained transformer).
Trained on 147M conversation-like exchanges extracted from Reddit comment chains over a period spanning from 2005 through 2017, DialoGPT extends the Hugging Face PyTorch transformer to attain a performance close to human both in terms of automatic and human evaluation in single-turn dialogue settings.
We show that conversational systems that leverage DialoGPT generate more relevant, contentful, and context-consistent responses than strong baseline systems.
The pre-trained model and training pipeline are publicly released to facilitate research into neural response generation and the development of more intelligent open-domain dialogue systems.