Papers with Template (BiSET) model

1 papers
BiSET: Bi-directional Selective Encoding with Template for Abstractive Summarization (P19-1)

Copied to clipboard

Challenge: Abstractive summarization models are limited in size and noisy training data.
Approach: They propose a bi-directional selective encoding with template model which leverages template from training data to softly select key information from each source article to guide its summarization process.
Outcome: The proposed model improves the summarization performance significantly on a standard summarizing dataset.

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