Papers with dynamic fusion layer

1 papers
Dynamically Fused Graph Network for Multi-hop Reasoning (P19-1)

Copied to clipboard

Challenge: Text-based question answering (TBQA) has been studied extensively in recent years.
Approach: They propose a Dynamically Fused Graph Network to answer questions requiring multiple scattered evidence and reasoning over them.
Outcome: The proposed method achieves competitive results on a public TBQA dataset and produces interpretable reasoning chains.

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