Named entity recognition (NER) is the task of tagging entities in text with their corresponding type. Approaches typically use BIO notation, which differentiates the beginning (B) and the inside (I) of entities. O is used for non-entity tokens.

Datasets

1. CoNLL-2003
1. BC5CDR
1. GENIA
1. NCBI Disease
1. SciERC
1. CoNLL 2002
1. BLUE
1. OntoNotes 5.0
1. ACE 2005
1. ACE 2004

Papers

  1. 2019 NAACL - BERT

Chinese Named Entity Recognition

Chinese named entity recognition is a subtask of information extraction that seeks to locate and classify named entities mentioned in unstructured text into pre-defined categories such as person names, organizations, locations, medical codes, time expressions, quantities, monetary values, percentages, etc. from Chinese text

Nested Named Entity Recognition

Nested named entity recognition is a subtask of information extraction that seeks to locate and classify nested named entities (i.e., hierarchically structured entities) mentioned in unstructured text

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Optical Character Recognition