Papers with high-precision mention detection objective

1 papers
Annotating Mentions Alone Enables Efficient Domain Adaptation for Coreference Resolution (2023.acl-long)

Copied to clipboard

Challenge: Recent results show that annotating mentions is twice as fast as annotation of full coreference chains.
Approach: They propose a method for efficiently adapting coreference models using only mentions in the target domain without increasing annotator time.
Outcome: The proposed method improves average F1 without increasing annotator time.

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