Papers with factuality-oriented abstractive summarization model

1 papers
Factual Relation Discrimination for Factuality-oriented Abstractive Summarization (2023.findings-emnlp)

Copied to clipboard

Challenge: Existing factuality-oriented abstractive summarization models only consider the integration of factual information and ignore the causes of factuual errors.
Approach: They propose a factuality-oriented abstractive summarization model that can identify the causes of factual errors.
Outcome: The proposed model outperforms state-of-the-art models in factual metrics.

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