Named Entity Recognition (NER)

Named Entity Recognition (NER) is a task of Natural Language Processing (NLP) that involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. The goal of NER is to extract structured information from unstructured text data and represent it in a machine-readable format. Approaches typically use BIO notation, which differentiates the beginning (B) and the inside (I) of entities. O is used for non-entity tokens.

Example:

| Mark | Watney | visited | Mars | | --- | ---| --- | --- | | B-PER | I-PER | O | B-LOC |

( Image credit: Zalando )

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 1551–1575 of 2874 papers

Title	Date	Tasks	Status	Hype
Enhancing Pharmacovigilance with Drug Reviews and Social Media	Apr 18, 2020	named-entity-recognitionNamed Entity Recognition	CodeCode Available	0
TriggerNER: Learning with Entity Triggers as Explanations for Named Entity Recognition	Apr 16, 2020	named-entity-recognitionNamed Entity Recognition	CodeCode Available	1
LEAN-LIFE: A Label-Efficient Annotation Framework Towards Learning from Explanation	Apr 16, 2020	named-entity-recognitionNamed Entity Recognition	—Unverified	0
A Simple Yet Strong Pipeline for HotpotQA	Apr 14, 2020	Multi-hop Question Answeringnamed-entity-recognition	—Unverified	0
Incorporating Uncertain Segmentation Information into Chinese NER for Social Media Text	Apr 14, 2020	Chinese Named Entity RecognitionChinese Word Segmentation	—Unverified	0
XtremeDistil: Multi-stage Distillation for Massive Multilingual Models	Apr 12, 2020	Knowledge Distillationnamed-entity-recognition	—Unverified	0
A Natural Language Processing Pipeline of Chinese Free-text Radiology Reports for Liver Cancer Diagnosis	Apr 10, 2020	Computed Tomography (CT)Coreference Resolution	—Unverified	0
One Model to Recognize Them All: Marginal Distillation from NER Models with Different Tag Sets	Apr 10, 2020	Allnamed-entity-recognition	—Unverified	0
Calibrating Structured Output Predictors for Natural Language Processing	Apr 9, 2020	named-entity-recognitionNamed Entity Recognition	—Unverified	0
Interpretability Analysis for Named Entity Recognition to Understand System Predictions and How They Can Improve	Apr 9, 2020	named-entity-recognitionNamed Entity Recognition	—Unverified	0
Self-Attention Gazetteer Embeddings for Named-Entity Recognition	Apr 8, 2020	named-entity-recognitionNamed Entity Recognition	—Unverified	0
Entity-Switched Datasets: An Approach to Auditing the In-Domain Robustness of Named Entity Recognition Models	Apr 8, 2020	Fairnessnamed-entity-recognition	CodeCode Available	0
A Corpus Study and Annotation Schema for Named Entity Recognition and Relation Extraction of Business Products	Apr 7, 2020	named-entity-recognitionNamed Entity Recognition	—Unverified	0
A German Corpus for Fine-Grained Named Entity Recognition and Relation Extraction of Traffic and Industry Events	Apr 7, 2020	Managementnamed-entity-recognition	—Unverified	0
The Russian Drug Reaction Corpus and Neural Models for Drug Reactions and Effectiveness Detection in User Reviews	Apr 7, 2020	General Classificationnamed-entity-recognition	CodeCode Available	1
Inexpensive Domain Adaptation of Pretrained Language Models: Case Studies on Biomedical NER and Covid-19 QA	Apr 7, 2020	Domain Adaptationnamed-entity-recognition	CodeCode Available	0
Deep Learning Approach for Intelligent Named Entity Recognition of Cyber Security	Mar 31, 2020	Articlesnamed-entity-recognition	—Unverified	0
Neurals Networks for Projecting Named Entities from English to Ewondo	Mar 29, 2020	named-entity-recognitionNamed Entity Recognition	—Unverified	0
A Dataset of German Legal Documents for Named Entity Recognition	Mar 29, 2020	named-entity-recognitionNamed Entity Recognition	CodeCode Available	1
Named Entities in Medical Case Reports: Corpus and Experiments	Mar 29, 2020	named-entity-recognitionNamed Entity Recognition	—Unverified	0
Comprehensive Named Entity Recognition on CORD-19 with Distant or Weak Supervision	Mar 27, 2020	named-entity-recognitionNamed Entity Recognition	—Unverified	0
Investigating Software Usage in the Social Sciences: A Knowledge Graph Approach	Mar 24, 2020	ArticlesAttribute	—Unverified	0
Word2Vec: Optimal Hyper-Parameters and Their Impact on NLP Downstream Tasks	Mar 23, 2020	named-entity-recognitionNamed Entity Recognition	CodeCode Available	0
E2EET: From Pipeline to End-to-end Entity Typing via Transformer-Based Embeddings	Mar 23, 2020	Entity Typingnamed-entity-recognition	—Unverified	0
FedNER: Privacy-preserving Medical Named Entity Recognition with Federated Learning	Mar 20, 2020	Federated LearningMedical Named Entity Recognition	—Unverified	0

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All datasets CoNLL 2003 (English)Ontonotes v5 (English)NCBI Disease WNUT 2017 ACE 2005 JNLPBA BC5CDR GENIA BC2GM BC5CDR-chemical SLUE CoNLL++

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	ACE + document-context	F1	94.6	—	Unverified
2	LUKE 483M	F1	94.3	—	Unverified
3	Co-regularized LUKE	F1	94.22	—	Unverified
4	LUKE + SubRegWeigh (K-means)	F1	94.2	—	Unverified
5	ASP+T5-3B	F1	94.1	—	Unverified
6	FLERT XLM-R	F1	94.09	—	Unverified
7	PL-Marker	F1	94	—	Unverified
8	CL-KL	F1	93.85	—	Unverified
9	XLNet-GCN	F1	93.82	—	Unverified
10	RoBERTa + SubRegWeigh (K-means)	F1	93.81	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	BERT-MRC+DSC	F1	92.07	—	Unverified
2	PL-Marker	F1	91.9	—	Unverified
3	Baseline + BS	F1	91.74	—	Unverified
4	Biaffine-NER	F1	91.3	—	Unverified
5	BERT-MRC	F1	91.11	—	Unverified
6	PIQN	F1	90.96	—	Unverified
7	HGN	F1	90.92	—	Unverified
8	Syn-LSTM + BERT (wo doc-context)	F1	90.85	—	Unverified
9	DiffusionNER	F1	90.66	—	Unverified
10	W2NER	F1	90.5	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	BioBERT	F1	89.71	—	Unverified
2	SpanModel + SequenceLabelingModel	F1	89.6	—	Unverified
3	SciFive-Base	F1	89.39	—	Unverified
4	BLSTM-CNN-Char (SparkNLP)	F1	89.13	—	Unverified
5	Spark NLP	F1	89.13	—	Unverified
6	KeBioLM	F1	89.1	—	Unverified
7	CL-KL	F1	88.96	—	Unverified
8	BioKMNER + BioBERT	F1	88.77	—	Unverified
9	BioLinkBERT (large)	F1	88.76	—	Unverified
10	CompactBioBERT	F1	88.67	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	CL-KL	F1	60.45	—	Unverified
2	RoBERTa + SubRegWeigh (K-means)	F1	60.29	—	Unverified
3	BERT-CRF (Replicated in AdaSeq)	F1	59.69	—	Unverified
4	RoBERTa-BiLSTM-context	F1	59.61	—	Unverified
5	BERT + RegLER	F1	58.9	—	Unverified
6	TNER -xlm-r-large	F1	58.5	—	Unverified
7	HGN	F1	57.41	—	Unverified
8	ASA + RoBERTa	F1	57.3	—	Unverified
9	BERTweet	F1	56.5	—	Unverified
10	MINER	F1	54.86	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Ours: cross-sentence ALB	F1	90.9	—	Unverified
2	GoLLIE	F1	89.6	—	Unverified
3	PromptNER [RoBERTa-large]	F1	88.26	—	Unverified
4	PIQN	F1	87.42	—	Unverified
5	PromptNER [BERT-large]	F1	87.21	—	Unverified
6	DiffusionNER	F1	86.93	—	Unverified
7	BERT-MRC	F1	86.88	—	Unverified
8	UniNER-7B	F1	86.69	—	Unverified
9	Locate and Label	F1	86.67	—	Unverified
10	BoningKnife	F1	85.46	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	KeBioLM	F1	82	—	Unverified
2	BLSTM-CNN-Char (SparkNLP)	F1	81.29	—	Unverified
3	Spark NLP	F1	81.29	—	Unverified
4	BINDER	F1	80.3	—	Unverified
5	BioMobileBERT	F1	80.13	—	Unverified
6	BioLinkBERT (large)	F1	80.06	—	Unverified
7	DistilBioBERT	F1	79.97	—	Unverified
8	CompactBioBERT	F1	79.88	—	Unverified
9	BioDistilBERT	F1	79.1	—	Unverified
10	PubMedBERT uncased	F1	79.1	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	BINDER	F1	91.9	—	Unverified
2	ConNER	F1	91.3	—	Unverified
3	CL-L2	F1	90.99	—	Unverified
4	aimped	F1	90.95	—	Unverified
5	BertForTokenClassification (Spark NLP)	F1	90.89	—	Unverified
6	BioLinkBERT (large)	F1	90.22	—	Unverified
7	ELECTRAMed	F1	90.03	—	Unverified
8	Spark NLP	F1	89.73	—	Unverified
9	BLSTM-CNN-Char (SparkNLP)	F1	89.73	—	Unverified
10	UniNER-7B	F1	89.34	—	Unverified