Named Entity Recognition (NER) on BC5CDR

Metric: F1 (higher is better)

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#	Model↕	F1▼	Extra Data	Paper	Date↕	Code
1	BINDER	91.9	No	Optimizing Bi-Encoder for Named Entity Recogniti...	2022-08-30	Code
2	ConNER	91.3	No	Enhancing Label Consistency on Document-level Na...	2022-10-24	Code
3	CL-L2	90.99	Yes	Improving Named Entity Recognition by External C...	2021-05-08	Code
4	aimped	90.95	No	-	-	-
5	BertForTokenClassification (Spark NLP)	90.89	No	-	-	Code
6	BioLinkBERT (large)	90.22	Yes	LinkBERT: Pretraining Language Models with Docum...	2022-03-29	Code
7	ELECTRAMed	90.03	Yes	ELECTRAMed: a new pre-trained language represent...	2021-04-19	Code
8	BLSTM-CNN-Char (SparkNLP)	89.73	No	Biomedical Named Entity Recognition at Scale	2020-11-12	Code
9	Spark NLP	89.73	No	Biomedical Named Entity Recognition at Scale	2020-11-12	Code
10	UniNER-7B	89.34	No	UniversalNER: Targeted Distillation from Large L...	2023-08-07	Code
11	SciBERT (SciVocab)	88.94	Yes	SciBERT: A Pretrained Language Model for Scienti...	2019-03-26	Code
12	GoLLIE	88.4	Yes	GoLLIE: Annotation Guidelines improve Zero-Shot ...	2023-10-05	Code
13	SciBERT (Base Vocab)	88.11	Yes	SciBERT: A Pretrained Language Model for Scienti...	2019-03-26	Code
14	RDANER	87.38	Yes	A Robust and Domain-Adaptive Approach for Low-Re...	2021-01-02	Code
15	CollaboNet	87.12	No	CollaboNet: collaboration of deep neural network...	2018-09-21	Code
16	BERT-CRF	86	No	Focusing on Potential Named Entities During Acti...	2021-11-06	Code