Papers by Zehao Lin

1 papers
Task-Oriented Conversation Generation Using Heterogeneous Memory Networks (D19-1)

Copied to clipboard

Challenge: Existing memory networks do not perform well when leveraging heterogeneous information from different sources.
Approach: They propose to use user utterances, dialogue history and background knowledge tuples to integrate external knowledge into a neural dialogue model.
Outcome: The proposed model outperforms the state-of-the-art data-driven task-oriented dialogue models on real-world datasets.

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