Conversational Response Generation
16 papers with code • 0 benchmarks • 5 datasets
Given an input conversation, generate a natural-looking text reply to the last conversation element.
Image credit: DIALOGPT : Large-Scale Generative Pre-training for Conversational Response Generation
Benchmarks
These leaderboards are used to track progress in Conversational Response Generation
CPED
DuLeMon
Arabic-ToD
Latest papers with no code
Using Synthetic Data for Conversational Response Generation in Low-resource Settings
Lastly, we published the first Filipino conversational response generator capable of generating responses related to the previous 3 responses.
MEMD: A Diversity-Promoting Learning Framework for Short-Text Conversation
Neural encoder-decoder models have been widely applied to conversational response generation, which is a research hot spot in recent years.
