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

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Showing 851–875 of 2874 papers

Title	Date	Tasks	Status	Score
End-to-end Named Entity Recognition and Relation Extraction using Pre-trained Language Models	Dec 20, 2019	Language ModelingLanguage Modelling	CodeCode Available	5
End-to-end Sequence Labeling via Bi-directional LSTM-CNNs-CRF	Mar 4, 2016	Feature EngineeringNamed Entity Recognition	CodeCode Available	5
RoBERTa-based Traditional Chinese Medicine Named Entity Recognition Model	Nov 1, 2022	Articlesnamed-entity-recognition	CodeCode Available	5
Robust Few-Shot Named Entity Recognition with Boundary Discrimination and Correlation Purification	Dec 13, 2023	Adversarial AttackEntity Typing	CodeCode Available	5
Enhancing Deep Learning with Embedded Features for Arabic Named Entity Recognition	Jun 1, 2022	named-entity-recognitionNamed Entity Recognition	CodeCode Available	5
Robust Named Entity Recognition in Idiosyncratic Domains	Aug 24, 2016	Entity Linkingnamed-entity-recognition	CodeCode Available	5
Extraction of Medication and Temporal Relation from Clinical Text using Neural Language Models	Oct 3, 2023	AvgDisease Prediction	CodeCode Available	5
Robust to Noise Models in Natural Language Processing Tasks	Jul 1, 2019	Aspect Extractionnamed-entity-recognition	CodeCode Available	5
Building a Kannada POS Tagger Using Machine Learning and Neural Network Models	Aug 9, 2018	BIG-bench Machine LearningDependency Parsing	CodeCode Available	5
Empirical Evaluation of Character-Based Model on Neural Named-Entity Recognition in Indonesian Conversational Texts	May 31, 2018	named-entity-recognitionNamed Entity Recognition	CodeCode Available	5
Embeddings of Label Components for Sequence Labeling: A Case Study of Fine-grained Named Entity Recognition	Jun 2, 2020	named-entity-recognitionNamed Entity Recognition	CodeCode Available	5
A Hierarchical Multi-task Approach for Learning Embeddings from Semantic Tasks	Nov 14, 2018	Inductive BiasMulti-Task Learning	CodeCode Available	5
Embedding Transfer for Low-Resource Medical Named Entity Recognition: A Case Study on Patient Mobility	Jun 7, 2018	Domain AdaptationMedical Named Entity Recognition	CodeCode Available	5
A Novel Approach for Auto-Formulation of Optimization Problems	Feb 9, 2023	Ensemble Learningnamed-entity-recognition	CodeCode Available	5
Dice Loss for Data-imbalanced NLP Tasks	Nov 7, 2019	Chinese Named Entity RecognitionMachine Reading Comprehension	CodeCode Available	5
Did You Enjoy the Last Supper? An Experimental Study on Cross-Domain NER Models for the Art Domain	Dec 1, 2021	Articlesnamed-entity-recognition	CodeCode Available	5
ELLEN: Extremely Lightly Supervised Learning For Efficient Named Entity Recognition	Mar 26, 2024	Language Modellingnamed-entity-recognition	CodeCode Available	5
An Empirical Investigation Towards Efficient Multi-Domain Language Model Pre-training	Oct 1, 2020	ClusteringLanguage Modeling	CodeCode Available	5
Different Tastes of Entities: Investigating Human Label Variation in Named Entity Annotations	Feb 2, 2024	Key Information Extractionnamed-entity-recognition	CodeCode Available	5
Efficient Joint Learning for Clinical Named Entity Recognition and Relation Extraction Using Fourier Networks: A Use Case in Adverse Drug Events	Feb 8, 2023	GPUnamed-entity-recognition	CodeCode Available	5
Embedding Models for Supervised Automatic Extraction and Classification of Named Entities in Scientific Acknowledgements	Jul 25, 2023	Miscellaneousnamed-entity-recognition	CodeCode Available	5
Empower Sequence Labeling with Task-Aware Neural Language Model	Sep 13, 2017	GPULanguage Modeling	CodeCode Available	5
DISARM: Detecting the Victims Targeted by Harmful Memes	May 11, 2022	Named Entity RecognitionNamed Entity Recognition (NER)	CodeCode Available	5
Effective Unsupervised Domain Adaptation with Adversarially Trained Language Models	Oct 5, 2020	Domain Adaptationnamed-entity-recognition	CodeCode Available	5
Fine-tuning BERT for Joint Entity and Relation Extraction in Chinese Medical Text	Aug 21, 2019	Joint Entity and Relation ExtractionLanguage Modeling	CodeCode Available	5

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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	Spark NLP	F1	89.13	—	Unverified
5	BLSTM-CNN-Char (SparkNLP)	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	BLSTM-CNN-Char (SparkNLP)	F1	89.73	—	Unverified
9	Spark NLP	F1	89.73	—	Unverified
10	UniNER-7B	F1	89.34	—	Unverified