A Unified Generative Framework for Various NER Subtasks

Understand

Named Entity Recognition (NER) is the task of identifying spans that represent entities in sentences.

• Whether the entity spans are nested or discontinuous, the NER task can be categorized into the flat NER, nested NER, and discontinuous NER subtasks.
• These subtasks have been mainly solved by the token-level sequence labelling or span-level classification.
• However, these solutions can hardly tackle the three kinds of NER subtasks concurrently.