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 1001–1025 of 2874 papers

Title	Date	Tasks	Status
English Event Detection With Translated Language Features	Jul 1, 2017	Event DetectionEvent Extraction	—Unverified
Enhanced E-Commerce Attribute Extraction: Innovating with Decorative Relation Correction and LLAMA 2.0-Based Annotation	Dec 9, 2023	AttributeAttribute Extraction	—Unverified
A Framework for Procedural Text Understanding	Jul 1, 2015	Named Entity Recognition (NER)Procedural Text Understanding	—Unverified
EL92: Entity Linking Combining Open Source Annotators via Weighted Voting	Jun 1, 2015	Entity LinkingNamed Entity Recognition (NER)	—Unverified
Enhance Robustness of Sequence Labelling with Masked Adversarial Training	Nov 1, 2020	Chunkingnamed-entity-recognition	—Unverified
EL4NER: Ensemble Learning for Named Entity Recognition via Multiple Small-Parameter Large Language Models	May 29, 2025	Ensemble LearningIn-Context Learning	—Unverified
EiCi: A New Method of Dynamic Embedding Incorporating Contextual Information in Chinese NER	Jan 16, 2022	Language ModelingLanguage Modelling	—Unverified
EHRKit: A Python Natural Language Processing Toolkit for Electronic Health Record Texts	Apr 13, 2022	Information RetrievalMachine Translation	—Unverified
BioBERTpt - A Portuguese Neural Language Model for Clinical Named Entity Recognition	Nov 1, 2020	Language ModelingLanguage Modelling	—Unverified
Effort Estimation in Named Entity Tagging Tasks	May 1, 2020	Feature Engineeringnamed-entity-recognition	—Unverified
Efficient Named Entity Annotation through Pre-empting	Sep 1, 2015	Active LearningNamed Entity Recognition (NER)	—Unverified
BioALBERT: A Simple and Effective Pre-trained Language Model for Biomedical Named Entity Recognition	Sep 19, 2020	Language ModelingLanguage Modelling	—Unverified
A New Concept of Deep Reinforcement Learning based Augmented General Tagging System	Aug 1, 2018	Deep Reinforcement LearningNamed Entity Recognition (NER)	—Unverified
A Framework for Developing and Evaluating Word Embeddings of Drug-named Entity	Jul 1, 2018	Named Entity Recognition (NER)Outlier Detection	—Unverified
Active Learning for Coreference Resolution	Jun 1, 2012	Active Learningcoreference-resolution	—Unverified
Enhancing Medical Named Entity Recognition with Features Derived from Unsupervised Methods	Apr 1, 2014	Domain AdaptationMedical Named Entity Recognition	—Unverified
Enhancing Named Entity Recognition in Twitter Messages Using Entity Linking	Jul 1, 2015	Entity Linkingnamed-entity-recognition	—Unverified
Enhancing NER Performance in Low-Resource Pakistani Languages using Cross-Lingual Data Augmentation	Apr 7, 2025	Data AugmentationFew-Shot Learning	—Unverified
Position-Aware Self-Attention based Neural Sequence Labeling	Aug 24, 2019	Chunkingnamed-entity-recognition	—Unverified
Accelerated materials language processing enabled by GPT	Aug 18, 2023	Document ClassificationExtractive Question-Answering	—Unverified
Efficient Higher-Order CRFs for Morphological Tagging	Oct 1, 2013	ChunkingMorphological Tagging	—Unverified
Enhancing Software-Related Information Extraction via Single-Choice Question Answering with Large Language Models	Apr 8, 2024	DescriptiveIn-Context Learning	—Unverified
Efficient Data Selection for Domain Adaptation of ASR Using Pseudo-Labels and Multi-Stage Filtering	Jun 4, 2025	DecoderDomain Adaptation	—Unverified
Bilingual Word Embeddings for Phrase-Based Machine Translation	Oct 1, 2013	Machine TranslationNamed Entity Recognition (NER)	—Unverified
Efficient Benchmarking of NLP APIs using Multi-armed Bandits	Apr 1, 2017	BenchmarkingMulti-Armed Bandits	—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