Papers with neural representation of speakers

1 papers
A Dynamic Speaker Model for Conversational Interactions (N19-1)

Copied to clipboard

Challenge: a neural model for characterizing individual differences in speakers is shown to be useful in human-computer interaction and dialog act prediction.
Approach: They propose a neural model for learning a dynamically updated speaker embedding in a conversational context.
Outcome: The proposed model is used for content ranking and dialog act prediction in human-human conversations.

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