Papers with neural extractive model

1 papers
At Which Level Should We Extract? An Empirical Analysis on Extractive Document Summarization (2020.coling-main)

Copied to clipboard

Challenge: Existing studies have shown that extracting sentences at sentence level is not the best solution for document summarization.
Approach: They propose to extract sub-sentential units based on the constituency parsing tree and a neural extractive model which leverages the sub-sensential information and extracts them.
Outcome: The proposed model performs competitively compared to full sentence extraction under automatic and human evaluations.

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