Papers with MDS baseline

1 papers
A Multi-Document Coverage Reward for RELAXed Multi-Document Summarization (2022.acl-long)

Copied to clipboard

Challenge: Multi-document summarization models are limited by limited references and with maximum-likelihood objectives.
Approach: They propose to fine-tune an MDS baseline with a reward that balances a reference-based metric such as ROUGE with coverage of the input documents.
Outcome: The proposed model improves on the Multi-News and WCEP datasets with a low-variance estimator . the proposed model also improves the coverage of the input documents .

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