A Unified MRC Framework for Named Entity Recognition

25 Oct 2019Xiaoya LiJingrong FengYuxian MengQinghong HanFei WuJiwei Li

The task of named entity recognition (NER) is normally divided into nested NER and flat NER depending on whether named entities are nested or not. Models are usually separately developed for the two tasks, since sequence labeling models, the most widely used backbone for flat NER, are only able to assign a single label to a particular token, which is unsuitable for nested NER where a token may be assigned several labels... (read more)

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Evaluation Results from the Paper


 SOTA for Nested Named Entity Recognition on ACE 2004 (using extra training data)

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TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK USES EXTRA
TRAINING DATA
COMPARE
Nested Named Entity Recognition ACE 2004 BERT-MRC F1 85.98 # 1