Named Entity Recognition via Machine Reading Comprehension: A Multi-Task Learning Approach
Yibo Wang,
Wenting Zhao,
Yao Wan
et al.
Abstract:Named Entity Recognition (NER) aims to extract and classify entity mentions in the text into pre-defined types (e.g., organization or person name). Recently, many works have been proposed to shape the NER as a machine reading comprehension problem (also termed MRC-based NER), in which entity recognition is achieved by answering the formulated questions related to pre-defined entity types through MRC, based on the contexts. However, these works ignore the label dependencies among entity types, which are critica… Show more
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