Neural Architectures for Nested NER through Linearization

ACL 2019 Jana Strakov{\'a}Milan StrakaJan Hajic

We propose two neural network architectures for nested named entity recognition (NER), a setting in which named entities may overlap and also be labeled with more than one label. We encode the nested labels using a linearized scheme... (read more)

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Evaluation results from the paper

Task Dataset Model Metric name Metric value Global rank Uses extra
training data
Named Entity Recognition ACE 2004 seq2seq+BERT+Flair F1 84.40 # 1
Named Entity Recognition ACE 2005 seq2seq+BERT+Flair F1 84.33 # 1
Named Entity Recognition CoNLL 2003 (English) LSTM-CRF+ELMo+BERT+Flair F1 93.38 # 3
Named Entity Recognition GENIA seq2seq+BERT+Flair F1 78.31 # 1