Skip to search formSkip to main contentSkip to account menu

Document-Level Definition Detection in Scholarly Documents: Existing Models, Error Analyses, and Future Directions

TLDR
This paper develops a new definition detection system, HEDDEx, that utilizes syntactic features, transformer encoders, and heuristic filters, and evaluates it on a standard sentence-level benchmark and notes that performance on the high-recall document-level task is much lower than in the standard evaluation approach.
View on ACL (opens in a new tab)
By clicking accept or continuing to use the site, you agree to the terms outlined in our Privacy Policy (opens in a new tab), Terms of Service (opens in a new tab), and Dataset License (opens in a new tab)