Papers with expression reconstruction model

1 papers
Hierarchy Response Learning for Neural Conversation Generation (D19-1)

Copied to clipboard

Challenge: Neural conversation generation models can't perceive and express the intention effectively, causing dull and generic responses.
Approach: They propose a hierarchical response generation model to capture conversation intention . they propose an expression reconstruction model and an expression attention model .
Outcome: The proposed model can generate the responses with more appropriate content and expression.

What is GenGO?

GenGO is an NLP powered publication search system. It currenctly indexes 30k+ papers from ACL Anthology, and implements multi-aspect summarization, semantic search, and more!

Information

About
Limitations