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Named Entity Recognition On Wnut 2017

Metrics

F1

Results

Performance results of various models on this benchmark

Paper Title
CL-KL60.45Improving Named Entity Recognition by External Context Retrieving and Cooperative Learning
RoBERTa + SubRegWeigh (K-means)60.29SubRegWeigh: Effective and Efficient Annotation Weighing with Subword Regularization
BERT-CRF (Replicated in AdaSeq)59.69Improving Named Entity Recognition by External Context Retrieving and Cooperative Learning
RoBERTa-BiLSTM-context59.20Supplementary Features of BiLSTM for Enhanced Sequence Labeling
BERT + RegLER58.9Regularization for Long Named Entity Recognition
TNER -xlm-r-large58.5T-NER: An All-Round Python Library for Transformer-based Named Entity Recognition
HGN57.41Hero-Gang Neural Model For Named Entity Recognition
ASA + RoBERTa57.3Adversarial Self-Attention for Language Understanding
BERTweet56.5BERTweet: A pre-trained language model for English Tweets
MINER54.86MINER: Improving Out-of-Vocabulary Named Entity Recognition from an Information Theoretic Perspective
GoLLIE54.3GoLLIE: Annotation Guidelines improve Zero-Shot Information-Extraction
Truecase52.3Robust Named Entity Recognition with Truecasing Pretraining
AESINER50.68Improving Named Entity Recognition with Attentive Ensemble of Syntactic Information
InferNER50.52InferNER: an attentive model leveraging the sentence-level information for Named Entity Recognition in Microblogs
SA-NER50.36Named Entity Recognition for Social Media Texts with Semantic Augmentation
CrossWeigh + Pooled Flair50.03CrossWeigh: Training Named Entity Tagger from Imperfect Annotations
ASA + BERT-base49.8Adversarial Self-Attention for Language Understanding
Aguilar et al.45.55Modeling Noisiness to Recognize Named Entities using Multitask Neural Networks on Social Media
NeuralCRF+SAC44.77Similarity Based Auxiliary Classifier for Named Entity Recognition
Cross-BiLSTM-CNN42.85Why Attention? Analyze BiLSTM Deficiency and Its Remedies in the Case of NER
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