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 2601–2625 of 2874 papers

Title	Date	Tasks	Status
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
Enhancing Software-Related Information Extraction via Single-Choice Question Answering with Large Language Models	Apr 8, 2024	DescriptiveIn-Context Learning	—Unverified
Enhancing Sumerian Lemmatization by Unsupervised Named-Entity Recognition	May 1, 2015	Cultural Vocal Bursts Intensity PredictionLemmatization	—Unverified
Enhancing Supply Chain Visibility with Knowledge Graphs and Large Language Models	Aug 5, 2024	Knowledge GraphsManagement	—Unverified
Enriching a Fashion Knowledge Graph from Product Textual Descriptions	Jun 2, 2022	Entity LinkingKnowledge Graphs	—Unverified
Enriching Relation Extraction with OpenIE	Dec 19, 2022	named-entity-recognitionNamed Entity Recognition	—Unverified
Enrichment of French Biomedical Ontologies with UMLS Concepts and Semantic Types for Biomedical Named Entity Recognition Though Ontological Semantic Annotation	Sep 1, 2017	Information Retrievalnamed-entity-recognition	—Unverified
Ensemble Distillation for Structured Prediction: Calibrated, Accurate, Fast-Choose Three	Oct 13, 2020	Machine Translationnamed-entity-recognition	—Unverified
Entity-to-Text based Data Augmentation for various Named Entity Recognition Tasks	Oct 19, 2022	Data AugmentationDiversity	—Unverified
Entity Candidate Network for Whole-Aware Named Entity Recognition	Apr 29, 2020	coreference-resolutionCoreference Resolution	—Unverified
Entity Decomposition with Filtering: A Zero-Shot Clinical Named Entity Recognition Framework	Jul 5, 2024	named-entity-recognitionNamed Entity Recognition	—Unverified
Entity Linking for Tweets	Aug 1, 2013	Entity LinkingEntity Resolution	—Unverified
Entity Linking Korean Text: An Unsupervised Learning Approach using Semantic Relations	Jul 1, 2015	Entity LinkingNamed Entity Recognition (NER)	—Unverified
Entity Linking with people entity on Wikipedia	May 2, 2017	coreference-resolutionCoreference Resolution	—Unverified
Entity Resolution in Open-domain Conversations	Jun 1, 2021	Entity LinkingEntity Resolution	—Unverified
Entity-Supported Summarization of Biomedical Abstracts	Dec 1, 2016	Document SummarizationMulti-Document Summarization	—Unverified
EPICURE Ensemble Pretrained Models for Extracting Cancer Mutations from Literature	Jun 11, 2021	Data Augmentationnamed-entity-recognition	—Unverified
Error Analysis for Vietnamese Named Entity Recognition on Deep Neural Network Models	Nov 17, 2019	named-entity-recognitionNamed Entity Recognition	—Unverified
Error Detection in Large-Scale Natural Language Understanding Systems Using Transformer Models	Sep 4, 2021	domain classificationnamed-entity-recognition	—Unverified
Establishing a New State-of-the-Art for French Named Entity Recognition	May 27, 2020	named-entity-recognitionNamed Entity Recognition	—Unverified
EstBERT: A Pretrained Language-Specific BERT for Estonian	Nov 9, 2020	Morphological Taggingnamed-entity-recognition	—Unverified
E.T.: Entity-Transformers. Coreference augmented Neural Language Model for richer mention representations via Entity-Transformer blocks	Nov 10, 2020	LAMBADALanguage Modeling	—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