HyperAI

Named Entity Recognition On Wnut 2017

Metrics

F1

Results

Performance results of various models on this benchmark

Model Name
F1
Paper TitleRepository
MINER54.86MINER: Improving Out-of-Vocabulary Named Entity Recognition from an Information Theoretic Perspective
UH-RiTUAL41.86A Multi-task Approach for Named Entity Recognition in Social Media Data
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
ASA + RoBERTa57.3Adversarial Self-Attention for Language Understanding
BiLSTMCRFBP42.3Regularization for Long Named Entity Recognition
ASA + BERT-base49.8Adversarial Self-Attention for Language Understanding
TNER -xlm-r-large58.5T-NER: An All-Round Python Library for Transformer-based Named Entity Recognition
RoBERTa-BiLSTM-context59.20Supplementary Features of BiLSTM for Enhanced Sequence Labeling
GoLLIE54.3GoLLIE: Annotation Guidelines improve Zero-Shot Information-Extraction
SA-NER50.36Named Entity Recognition for Social Media Texts with Semantic Augmentation
Truecase52.3Robust Named Entity Recognition with Truecasing Pretraining-
CrossWeigh + Pooled Flair50.03CrossWeigh: Training Named Entity Tagger from Imperfect Annotations
BERTweet56.5BERTweet: A pre-trained language model for English Tweets
Cross-BiLSTM-CNN42.85Why Attention? Analyze BiLSTM Deficiency and Its Remedies in the Case of NER
BERT-CRF (Replicated in AdaSeq)59.69Improving Named Entity Recognition by External Context Retrieving and Cooperative Learning
AESINER50.68Improving Named Entity Recognition with Attentive Ensemble of Syntactic Information
SpinningBytes40.78Transfer Learning and Sentence Level Features for Named Entity Recognition on Tweets-
InferNER50.52InferNER: an attentive model leveraging the sentence-level information for Named Entity Recognition in Microblogs-
CL-KL60.45Improving Named Entity Recognition by External Context Retrieving and Cooperative Learning
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