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Zhang Lin

2 accepted papers

2023

Coarse-to-fine Few-shot Learning for Named Entity Recognition

ACL 2023findings

Recently, Few-shot Named Entity Recognition has received wide attention with the growing need for NER models to learn new classes with minimized annotation costs. However, one common yet understudied situation is to transfer a model trained with coarse-grained classes to recognize fine-grained class…

2023

Learning “O” Helps for Learning More: Handling the Unlabeled Entity Problem for Class-incremental NER

ACL 2023long

As the categories of named entities rapidly increase, the deployed NER models are required to keep updating toward recognizing more entity types, creating a demand for class-incremental learning for NER. Considering the privacy concerns and storage constraints, the standard paradigm for class-increm…