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 2026–2050 of 2874 papers

Title	Date	Tasks	Status
A Joint Named-Entity Recognizer for Heterogeneous Tag-sets Using a Tag Hierarchy	May 22, 2019	Domain Adaptationnamed-entity-recognition	—Unverified
Aleda, a free large-scale entity database for French	May 1, 2012	Entity LinkingEntity Resolution	—Unverified
A Legal Perspective on Training Models for Natural Language Processing	May 1, 2018	Named Entity Recognition (NER)	—Unverified
A Lexicon-Based Graph Neural Network for Chinese NER	Nov 1, 2019	Chinese Named Entity RecognitionGraph Neural Network	—Unverified
Aligning Opinions: Cross-Lingual Opinion Mining with Dependencies	Jul 1, 2015	Coreference ResolutionNamed Entity Recognition (NER)	—Unverified
A Local Detection Approach for Named Entity Recognition and Mention Detection	Jul 1, 2017	Feature EngineeringImage Classification	—Unverified
AlpacaTag: An Active Learning-based Crowd Annotation Framework for Sequence Tagging	Jul 1, 2019	Active Learningnamed-entity-recognition	—Unverified
A Machine Learning Approach for Phenotype Name Recognition	Dec 1, 2012	BIG-bench Machine LearningNamed Entity Recognition (NER)	—Unverified
A Marker-based Neural Network System for Extracting Social Determinants of Health	Dec 24, 2022	named-entity-recognitionNamed Entity Recognition	—Unverified
A Method to Generate a Machine-Labeled Data for Biomedical Named Entity Recognition with Various Sub-Domains	Nov 1, 2017	BIG-bench Machine Learningnamed-entity-recognition	—Unverified
A Mixed Morpho-Syntactic and Statistical Approach to Chinese Named Entity Recognition (Une approche mixte morpho-syntaxique et statistique pour la reconnaissance d'entit\'es nomm\'ees en langue chinoise) [in French]	Jun 1, 2013	Chinese Named Entity Recognitionnamed-entity-recognition	—Unverified
A More Efficient Chinese Named Entity Recognition base on BERT and Syntactic Analysis	Jan 11, 2021	Chinese Named Entity RecognitionChinese Word Segmentation	—Unverified
A Morpho-Syntactically Informed LSTM-CRF Model for Named Entity Recognition	Aug 27, 2019	named-entity-recognitionNamed Entity Recognition	—Unverified
A multi-constraint structured hinge loss for named-entity recognition	Apr 1, 2019	named-entity-recognitionNamed Entity Recognition	—Unverified
A Multi-Gate Encoder for Joint Entity and Relation Extraction	Oct 1, 2022	Joint Entity and Relation Extractionnamed-entity-recognition	—Unverified
A Multilingual Entity Linker Using PageRank and Semantic Graphs	May 1, 2017	Entity LinkingNamed Entity Recognition (NER)	—Unverified
A Multilingual Evaluation of NER Robustness to Adversarial Inputs	May 30, 2023	named-entity-recognitionNamed Entity Recognition	—Unverified
A multimodal deep learning approach for named entity recognition from social media	Jan 19, 2020	Information RetrievalMultimodal Deep Learning	—Unverified
A Multi-Strategy Approach for Location Mining in Tweets: AUT NLP Group Entry for ALTA-2014 Shared Task	Nov 1, 2014	named-entity-recognitionNamed Entity Recognition	—Unverified
A Multi-task Learning Approach for Named Entity Recognition using Local Detection	Apr 5, 2019	Multi-Task Learningnamed-entity-recognition	—Unverified
A Multi-task Learning Approach to Adapting Bilingual Word Embeddings for Cross-lingual Named Entity Recognition	Nov 1, 2017	Cross-Lingual TransferMulti-Task Learning	—Unverified
A Multi-Task Learning Framework for Extracting Drugs and Their Interactions from Drug Labels	May 17, 2019	Multi-Task Learningnamed-entity-recognition	—Unverified
An Adaptive Framework for Named Entity Combination	May 1, 2012	named-entity-recognitionNamed Entity Recognition	—Unverified
Analysing recall loss in named entity slot filling	Oct 1, 2014	Knowledge Base PopulationNamed Entity Recognition (NER)	—Unverified
Analysis of Named Entity Recognition and Linking for Tweets	Oct 27, 2014	Entity DisambiguationLanguage Identification	—Unverified

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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