Named Entity Recognition On Wnut 2017

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Ergebnisse

Leistungsergebnisse verschiedener Modelle zu diesem Benchmark

Modellname	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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