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 1126–1150 of 2874 papers

Title	Date	Tasks	Status
Adapting word2vec to Named Entity Recognition	May 1, 2015	Dependency ParsingInformation Retrieval	—Unverified
A Boosted Semi-Markov Perceptron	Aug 1, 2013	ChunkingNamed Entity Recognition (NER)	—Unverified
Flat Multi-modal Interaction Transformer for Named Entity Recognition	Aug 23, 2022	Boundary DetectionMulti-modal Named Entity Recognition	—Unverified
Flippi: End To End GenAI Assistant for E-Commerce	Jul 8, 2025	Intent Detectionnamed-entity-recognition	—Unverified
FRE at SocialDisNER: Joint Learning of Language Models for Named Entity Recognition	Oct 1, 2022	named-entity-recognitionNamed Entity Recognition	—Unverified
Fusing Heterogeneous Factors with Triaffine Mechanism for Nested Named Entity Recognition	Nov 16, 2021	Classificationnamed-entity-recognition	—Unverified
Applying Citizen Science to Gene, Drug, Disease Relationship Extraction from Biomedical Abstracts	Nov 17, 2018	named-entity-recognitionNamed Entity Recognition	—Unverified
CASIA@SMM4H’22: A Uniform Health Information Mining System for Multilingual Social Media Texts	Oct 1, 2022	named-entity-recognitionNamed Entity Recognition	—Unverified
Finely Tuned, 2 Billion Token Based Word Embeddings for Portuguese	May 1, 2018	Named Entity Recognition (NER)Question Answering	—Unverified
Applying and Sharing pre-trained BERT-models for Named Entity Recognition and Classification in Swedish Electronic Patient Records	May 1, 2021	De-identificationnamed-entity-recognition	—Unverified
Fast High-Accuracy Part-of-Speech Tagging by Independent Classifiers	Aug 1, 2014	Named Entity Recognition (NER)Part-Of-Speech Tagging	—Unverified
Cascaded Models for Better Fine-Grained Named Entity Recognition	Sep 15, 2020	Event Extractionnamed-entity-recognition	—Unverified
AI-assisted Knowledge Discovery in Biomedical Literature to Support Decision-making in Precision Oncology	Dec 12, 2024	Decision Makingnamed-entity-recognition	—Unverified
Fast and Accurate Recognition of Chinese Clinical Named Entities with Residual Dilated Convolutions	Aug 27, 2018	named-entity-recognitionNamed Entity Recognition	—Unverified
Capturing Long-distance Dependencies in Sequence Models: A Case Study of Chinese Part-of-speech Tagging	Oct 1, 2013	Chinese Part-of-Speech TaggingChunking	—Unverified
Fast and Accurate Decision Trees for Natural Language Processing Tasks	Sep 1, 2017	AttributeBIG-bench Machine Learning	—Unverified
CAp 2017 challenge: Twitter Named Entity Recognition	Jul 24, 2017	named-entity-recognitionNamed Entity Recognition	—Unverified
Application of Pre-training Models in Named Entity Recognition	Feb 9, 2020	named-entity-recognitionNamed Entity Recognition	—Unverified
Can Data Diversity Enhance Learning Generalization?	Oct 1, 2022	DiversityDomain Adaptation	—Unverified
CASIA at SemEval-2022 Task 11: Chinese Named Entity Recognition for Complex and Ambiguous Entities	Jul 1, 2022	Chinese Named Entity RecognitionData Augmentation	—Unverified
Fast Recursive Multi-class Classification of Pairs of Text Entities for Biomedical Event Extraction	Apr 1, 2014	Event ExtractionGeneral Classification	—Unverified
Feature Aggregation in Zero-Shot Cross-Lingual Transfer Using Multilingual BERT	May 17, 2022	Cross-Lingual TransferLanguage Modeling	—Unverified
Feature-based Neural Language Model and Chinese Word Segmentation	Oct 1, 2013	Chinese Word SegmentationChunking	—Unverified
Facebook 活動事件擷取系統(Facebook Activity Event Extraction System)[In Chinese]	Oct 1, 2016	Event ExtractionNamed Entity Recognition (NER)	—Unverified
FaBERT: Pre-training BERT on Persian Blogs	Feb 9, 2024	named-entity-recognitionNamed 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