Generating Multiple Diverse Responses for Short-Text Conversation
Generating Multiple Diverse Responses for Short-Text Conversation
Neural generative models have become popular and achieved promising performance on short-text conversation tasks. They are generally trained to build a 1-to-1 mapping from the input post to its output response. However, a given post is often associated with multiple replies simultaneously in real applications. Previous research on this task …