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 2151–2175 of 2874 papers

Title	Date	Tasks	Status
AsNER - Annotated Dataset and Baseline for Assamese Named Entity recognition	Jun 1, 2022	named-entity-recognitionNamed Entity Recognition	—Unverified
Assessing multiple word embeddings for named entity recognition of professions and occupations in health-related social media	Jun 1, 2021	named-entity-recognitionNamed Entity Recognition	—Unverified
Assessing the Performance of Chinese Open Source Large Language Models in Information Extraction Tasks	Jun 4, 2024	Language ModelingLanguage Modelling	—Unverified
Assessment of DistilBERT performance on Named Entity Recognition task for the detection of Protected Health Information and medical concepts	Nov 1, 2020	named-entity-recognitionNamed Entity Recognition	—Unverified
Assorted, Archetypal and Annotated Two Million (3A2M) Cooking Recipes Dataset based on Active Learning	Mar 27, 2023	Active LearningGenre classification	—Unverified
A Study of Recent Contributions on Information Extraction	Mar 15, 2018	BIG-bench Machine Learningnamed-entity-recognition	—Unverified
A Study of the Importance of External Knowledge in the Named Entity Recognition Task	Jul 1, 2018	named-entity-recognitionNamed Entity Recognition	—Unverified
A Study on the Integration of Pre-trained SSL, ASR, LM and SLU Models for Spoken Language Understanding	Nov 10, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
ASU: An Experimental Study on Applying Deep Learning in Twitter Named Entity Recognition.	Dec 1, 2016	Entity Extraction using GANnamed-entity-recognition	—Unverified
A Survey of Adversarial Defences and Robustness in NLP	Mar 12, 2022	Adversarial Defensenamed-entity-recognition	—Unverified
A Survey of Arabic Named Entity Recognition and Classification	Jun 1, 2014	ClassificationGeneral Classification	—Unverified
A Survey of Named Entity Recognition in Assamese and other Indian Languages	Jul 9, 2014	Document SummarizationMachine Translation	—Unverified
A Survey on Arabic Named Entity Recognition: Past, Recent Advances, and Future Trends	Feb 7, 2023	Feature EngineeringLanguage Modeling	—Unverified
A Survey on Recent Advances in Sequence Labeling from Deep Learning Models	Nov 13, 2020	ChunkingGraph Embedding	—Unverified
A Few-Shot Learning Focused Survey on Recent Named Entity Recognition and Relation Classification Methods	Oct 29, 2023	ClassificationFew-Shot Learning	—Unverified
A Syllable-based Technique for Word Embeddings of Korean Words	Aug 5, 2017	Machine Translationnamed-entity-recognition	—Unverified
A temporal expression recognition system for medical documents by	Dec 1, 2015	Named Entity Recognition (NER)Question Answering	—Unverified
基於已知名稱搜尋結果的網路實體辨識模型建立工具(A Tool for Web NER Model Generation Using Search Snippets of Known Entities) [In Chinese]	Oct 1, 2015	Named Entity Recognition (NER)NER	—Unverified
AttackER: Towards Enhancing Cyber-Attack Attribution with a Named Entity Recognition Dataset	Aug 9, 2024	named-entity-recognitionNamed Entity Recognition	—Unverified
Attack Named Entity Recognition by Entity Boundary Interference	May 9, 2023	named-entity-recognitionNamed Entity Recognition	—Unverified
Attending to Characters in Neural Sequence Labeling Models	Nov 14, 2016	ChunkingGrammatical Error Detection	—Unverified
Attention-based BLSTM-CRF Architecture for Mongolian Named Entity Recognition	Dec 1, 2018	named-entity-recognitionNamed Entity Recognition	—Unverified
Attribute based Chinese Named Entity Recognition and Disambiguation	Dec 1, 2012	AttributeChinese Named Entity Recognition	—Unverified
Attribute Value Generation from Product Title using Language Models	Aug 1, 2021	AttributeAttribute Value Extraction	—Unverified
A TV Program Discovery Dialog System using recommendations	Sep 1, 2015	Named Entity Recognition (NER)Recommendation Systems	—Unverified

Show:10 25 50

← PrevPage 87 of 115Next →

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