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 401–425 of 2874 papers

Title	Date	Tasks	Status	Hype
Learning from Noisy Crowd Labels with Logics	Feb 13, 2023	Knowledge Distillationnamed-entity-recognition	CodeCode Available	0
Span-based Named Entity Recognition by Generating and Compressing Information	Feb 10, 2023	named-entity-recognitionNamed Entity Recognition	CodeCode Available	0
Lightweight Transformers for Clinical Natural Language Processing	Feb 9, 2023	Continual LearningKnowledge Distillation	CodeCode Available	1
Data Augmentation for Robust Character Detection in Fantasy Novels	Feb 9, 2023	Data Augmentationnamed-entity-recognition	CodeCode Available	0
A Novel Approach for Auto-Formulation of Optimization Problems	Feb 9, 2023	Ensemble Learningnamed-entity-recognition	CodeCode Available	0
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	0
A Survey on Arabic Named Entity Recognition: Past, Recent Advances, and Future Trends	Feb 7, 2023	Feature EngineeringLanguage Modeling	—Unverified	0
Collective Robustness Certificates: Exploiting Interdependence in Graph Neural Networks	Feb 6, 2023	Adversarial RobustnessImage Segmentation	—Unverified	0
Unleashing the True Potential of Sequence-to-Sequence Models for Sequence Tagging and Structure Parsing	Feb 5, 2023	Dependency Parsingnamed-entity-recognition	CodeCode Available	1
Bioformer: an efficient transformer language model for biomedical text mining	Feb 3, 2023	ArticlesDocument Classification	CodeCode Available	1
Predefined domain specific embeddings of food concepts and recipes: A case study on heterogeneous recipe datasets	Feb 2, 2023	named-entity-recognitionNamed Entity Recognition	—Unverified	0
Zero-shot cross-lingual transfer language selection using linguistic similarity	Jan 31, 2023	Cross-Lingual TransferDependency Parsing	—Unverified	0
A Comparative Study of Pretrained Language Models for Long Clinical Text	Jan 27, 2023	Clinical KnowledgeDocument Classification	CodeCode Available	1
One Model for All Domains: Collaborative Domain-Prefix Tuning for Cross-Domain NER	Jan 25, 2023	AllNamed Entity Recognition (NER)	CodeCode Available	0
ViDeBERTa: A powerful pre-trained language model for Vietnamese	Jan 25, 2023	Language ModelingLanguage Modelling	CodeCode Available	1
XLM-V: Overcoming the Vocabulary Bottleneck in Multilingual Masked Language Models	Jan 25, 2023	Language ModelingLanguage Modelling	CodeCode Available	0
ProKD: An Unsupervised Prototypical Knowledge Distillation Network for Zero-Resource Cross-Lingual Named Entity Recognition	Jan 21, 2023	Contrastive LearningCross-Lingual NER	—Unverified	0
Adversarial Adaptation for French Named Entity Recognition	Jan 12, 2023	named-entity-recognitionNamed Entity Recognition	CodeCode Available	0
A Dataset of Kurdish (Sorani) Named Entities -- An Amendment to Kurdish-BLARK Named Entities	Jan 12, 2023	Information RetrievalMachine Translation	CodeCode Available	0
Language Models sounds the Death Knell of Knowledge Graphs	Jan 10, 2023	Knowledge GraphsLanguage Modelling	—Unverified	0
Floods Relevancy and Identification of Location from Twitter Posts using NLP Techniques	Jan 1, 2023	named-entity-recognitionNamed Entity Recognition	—Unverified	0
Countering Malicious Content Moderation Evasion in Online Social Networks: Simulation and Detection of Word Camouflage	Dec 27, 2022	Multilingual Named Entity Recognitionnamed-entity-recognition	CodeCode Available	0
A Comprehensive Study of Gender Bias in Chemical Named Entity Recognition Models	Dec 24, 2022	Fairnessnamed-entity-recognition	—Unverified	0
A Marker-based Neural Network System for Extracting Social Determinants of Health	Dec 24, 2022	named-entity-recognitionNamed Entity Recognition	—Unverified	0
Naamapadam: A Large-Scale Named Entity Annotated Data for Indic Languages	Dec 20, 2022	Named Entity RecognitionNamed Entity Recognition (NER)	CodeCode Available	1

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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	Spark NLP	F1	81.29	—	Unverified
3	BLSTM-CNN-Char (SparkNLP)	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