BERT for Coreference Resolution: Baselines and Analysis

Understand

We apply BERT to coreference resolution, achieving strong improvements on the OntoNotes (+3.9 F1) and GAP (+11.5 F1) benchmarks.

• A qualitative analysis of model predictions indicates that, compared to ELMo and BERT-base, BERT-large is particularly better at distinguishing between related but distinct entities (e.g., President and CEO).
• However, there is still room for improvement in modeling document-level context, conversations, and mention paraphrasing.
• Our code and models are publicly available.