Chunking On Penn Treebank

F1 score

평가 결과

이 벤치마크에서 각 모델의 성능 결과

		Paper Title
ACE	97.3	Automated Concatenation of Embeddings for Structured Prediction
Flair embeddings	96.72	Contextual String Embeddings for Sequence Labeling
JMT	95.77	A Joint Many-Task Model: Growing a Neural Network for Multiple NLP Tasks
Low supervision	95.57	-
IntNet + BiLSTM-CRF	95.29	Learning Better Internal Structure of Words for Sequence Labeling
Suzuki and Isozaki	95.15	-
NCRF++	95.06	NCRF++: An Open-source Neural Sequence Labeling Toolkit
BI-LSTM-CRF (Senna) (ours)	94.46	Bidirectional LSTM-CRF Models for Sequence Tagging

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