Papers with discriminative learning method

1 papers
Headline Token-based Discriminative Learning for Subheading Generation in News Article (2023.findings-eacl)

Copied to clipboard

Challenge: Existing models that generate news subheadings rely on topical headline information to capture topical knowledge from the article.
Approach: They propose a model that uses topical headline information to generate news subheadings using masked headline tokens.
Outcome: The proposed model outperforms the comparative models on three news datasets written in two languages and performs robustly on a small dataset and various masking ratios.

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