Named Entity Recognition On Wnut 2017

评估指标

评测结果

各个模型在此基准测试上的表现结果

		Paper Title	Repository
CL-KL	60.45	Improving Named Entity Recognition by External Context Retrieving and Cooperative Learning
RoBERTa + SubRegWeigh (K-means)	60.29	SubRegWeigh: Effective and Efficient Annotation Weighing with Subword Regularization
BERT-CRF (Replicated in AdaSeq)	59.69	Improving Named Entity Recognition by External Context Retrieving and Cooperative Learning
RoBERTa-BiLSTM-context	59.20	Supplementary Features of BiLSTM for Enhanced Sequence Labeling
BERT + RegLER	58.9	Regularization for Long Named Entity Recognition
TNER -xlm-r-large	58.5	T-NER: An All-Round Python Library for Transformer-based Named Entity Recognition
HGN	57.41	Hero-Gang Neural Model For Named Entity Recognition
ASA + RoBERTa	57.3	Adversarial Self-Attention for Language Understanding
BERTweet	56.5	BERTweet: A pre-trained language model for English Tweets
MINER	54.86	MINER: Improving Out-of-Vocabulary Named Entity Recognition from an Information Theoretic Perspective
GoLLIE	54.3	GoLLIE: Annotation Guidelines improve Zero-Shot Information-Extraction
Truecase	52.3	Robust Named Entity Recognition with Truecasing Pretraining	-
AESINER	50.68	Improving Named Entity Recognition with Attentive Ensemble of Syntactic Information
InferNER	50.52	InferNER: an attentive model leveraging the sentence-level information for Named Entity Recognition in Microblogs	-
SA-NER	50.36	Named Entity Recognition for Social Media Texts with Semantic Augmentation
CrossWeigh + Pooled Flair	50.03	CrossWeigh: Training Named Entity Tagger from Imperfect Annotations
ASA + BERT-base	49.8	Adversarial Self-Attention for Language Understanding
Aguilar et al.	45.55	Modeling Noisiness to Recognize Named Entities using Multitask Neural Networks on Social Media	-
NeuralCRF+SAC	44.77	Similarity Based Auxiliary Classifier for Named Entity Recognition	-
Cross-BiLSTM-CNN	42.85	Why Attention? Analyze BiLSTM Deficiency and Its Remedies in the Case of NER

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