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

模型名称	F1	Paper Title	Repository
MINER	54.86	MINER: Improving Out-of-Vocabulary Named Entity Recognition from an Information Theoretic Perspective
UH-RiTUAL	41.86	A Multi-task Approach for Named Entity Recognition in Social Media Data
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
ASA + RoBERTa	57.3	Adversarial Self-Attention for Language Understanding
BiLSTMCRFBP	42.3	Regularization for Long Named Entity Recognition
ASA + BERT-base	49.8	Adversarial Self-Attention for Language Understanding
TNER -xlm-r-large	58.5	T-NER: An All-Round Python Library for Transformer-based Named Entity Recognition
RoBERTa-BiLSTM-context	59.20	Supplementary Features of BiLSTM for Enhanced Sequence Labeling
GoLLIE	54.3	GoLLIE: Annotation Guidelines improve Zero-Shot Information-Extraction
SA-NER	50.36	Named Entity Recognition for Social Media Texts with Semantic Augmentation
Truecase	52.3	Robust Named Entity Recognition with Truecasing Pretraining	-
CrossWeigh + Pooled Flair	50.03	CrossWeigh: Training Named Entity Tagger from Imperfect Annotations
BERTweet	56.5	BERTweet: A pre-trained language model for English Tweets
Cross-BiLSTM-CNN	42.85	Why Attention? Analyze BiLSTM Deficiency and Its Remedies in the Case of NER
BERT-CRF (Replicated in AdaSeq)	59.69	Improving Named Entity Recognition by External Context Retrieving and Cooperative Learning
AESINER	50.68	Improving Named Entity Recognition with Attentive Ensemble of Syntactic Information
SpinningBytes	40.78	Transfer Learning and Sentence Level Features for Named Entity Recognition on Tweets	-
InferNER	50.52	InferNER: an attentive model leveraging the sentence-level information for Named Entity Recognition in Microblogs	-
CL-KL	60.45	Improving Named Entity Recognition by External Context Retrieving and Cooperative Learning

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