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 1051–1075 of 2874 papers

Title	Date	Tasks	Status
Dynamic Feature Induction: The Last Gist to the State-of-the-Art	Jun 1, 2016	Feature EngineeringNamed Entity Recognition (NER)	—Unverified
Dynamic Ensembles in Named Entity Recognition for Historical Arabic Texts	Apr 1, 2021	named-entity-recognitionNamed Entity Recognition	—Unverified
Dutch Named Entity Recognition and De-identification Methods for the Human Resource Domain	Jun 4, 2021	De-identificationnamed-entity-recognition	—Unverified
Better Semi-supervised Learning for Multi-domain ASR Through Incremental Retraining and Data Filtering	Jun 5, 2025	named-entity-recognitionNamed Entity Recognition	—Unverified
Dual Coordinate Descent Algorithms for Efficient Large Margin Structured Prediction	Jan 1, 2013	Dependency ParsingDocument Summarization	—Unverified
Dual Adversarial Neural Transfer for Low-Resource Named Entity Recognition	Jul 1, 2019	Language ModelingLanguage Modelling	—Unverified
DS4DH at SemEval-2022 Task 11: Multilingual Named Entity Recognition Using an Ensemble of Transformer-based Language Models	Jul 1, 2022	Multilingual Named Entity Recognitionnamed-entity-recognition	—Unverified
Better Modeling of Incomplete Annotations for Named Entity Recognition	Jun 1, 2019	named-entity-recognitionNamed Entity Recognition	—Unverified
A fine-grained corpus annotation schema of German nephrology records	Dec 1, 2016	BIG-bench Machine LearningNamed Entity Recognition (NER)	—Unverified
Active Defense Against Social Engineering: The Case for Human Language Technology	May 1, 2020	AttributeDialogue Generation	—Unverified
Drop-out Conditional Random Fields for Twitter with Huge Mined Gazetteer	Jun 1, 2016	Named Entity Recognition (NER)Word Embeddings	—Unverified
DR.BENCH: Diagnostic Reasoning Benchmark for Clinical Natural Language Processing	Sep 29, 2022	DiagnosticNamed Entity Recognition	—Unverified
Do We Still Need Automatic Speech Recognition for Spoken Language Understanding?	Nov 29, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
On the Importance of Word Order Information in Cross-lingual Sequence Labeling	Jan 30, 2020	named-entity-recognitionNamed Entity Recognition	—Unverified
Do Multi-Sense Embeddings Improve Natural Language Understanding?	Jun 2, 2015	named-entity-recognitionNamed Entity Recognition	—Unverified
Domain-Transferable Method for Named Entity Recognition Task	Nov 24, 2020	Knowledge Graphsnamed-entity-recognition	—Unverified
BERTweetFR : Domain Adaptation of Pre-Trained Language Models for French Tweets	Sep 21, 2021	Domain AdaptationLanguage Modeling	—Unverified
Domain Specific Named Entity Recognition Referring to the Real World by Deep Neural Networks	Aug 1, 2016	Machine Translationnamed-entity-recognition	—Unverified
BERT-PersNER: A New Model for Persian Named Entity Recognition	Sep 1, 2021	Active LearningMachine Translation	—Unverified
Domain-Sensitive Temporal Tagging By Jannik Str\"otgen, Michael Gertz	Jun 1, 2018	Information RetrievalNamed Entity Recognition (NER)	—Unverified
Domain Adaption of Named Entity Recognition to Support Credit Risk Assessment	Dec 1, 2015	Domain Adaptationnamed-entity-recognition	—Unverified
Domain Adaptation with Filtering for Named Entity Extraction of Japanese Anime-Related Words	Sep 1, 2015	ChunkingDomain Adaptation	—Unverified
Bertinho: Galician BERT Representations	Mar 25, 2021	Dependency ParsingGPU	—Unverified
Active Curriculum Learning	Aug 1, 2021	Active LearningInformativeness	—Unverified
Domain Adaptation for Named Entity Recognition Using CRFs	May 1, 2016	Domain Adaptationnamed-entity-recognition	—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