Danqin Wu

Modeling Global Latent Semantic in Multi-Turn Conversations with Random Context Reconstruction

In multi-turn dialogue generation, it’s still a challenge to generate coherent responses given dialogue history, which requires neural models to learn complex semantic structures between responses and contexts. It’s practical that a multi-turn conversation takes place under a constant background, su…