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 976–1000 of 2874 papers

Title	Date	Tasks	Status
An Experimental Investigation of Part-Of-Speech Taggers for Vietnamese	Jun 14, 2022	ChunkingDependency Parsing	—Unverified
Embed More Ignore Less (EMIL): Exploiting Enriched Representations for Arabic NLP	Dec 1, 2020	named-entity-recognitionNamed Entity Recognition	—Unverified
EMBRE: Entity-aware Masking for Biomedical Relation Extraction	Jan 15, 2024	named-entity-recognitionNamed Entity Recognition	—Unverified
Collective Robustness Certificates: Exploiting Interdependence in Graph Neural Networks	Feb 6, 2023	Adversarial RobustnessImage Segmentation	—Unverified
Collective Robustness Certificates	Jan 1, 2021	Adversarial RobustnessImage Segmentation	—Unverified
Empirical Study of Named Entity Recognition Performance Using Distribution-aware Word Embedding	Sep 3, 2021	named-entity-recognitionNamed Entity Recognition	—Unverified
A Sequence Tagging based Framework for Few-Shot Relation Extraction	Aug 17, 2022	named-entity-recognitionNamed Entity Recognition	—Unverified
Evaluating Pretrained Transformer-based Models on the Task of Fine-Grained Named Entity Recognition	Dec 1, 2020	named-entity-recognitionNamed Entity Recognition	—Unverified
Employing Word Representations and Regularization for Domain Adaptation of Relation Extraction	Jun 1, 2014	Domain AdaptationNamed Entity Recognition (NER)	—Unverified
Biomedical entity extraction using machine-learning based approaches	May 1, 2014	BIG-bench Machine LearningCoreference Resolution	—Unverified
Collaboratively Annotating Multilingual Parallel Corpora in the Biomedical Domain---some MANTRAs	May 1, 2014	Named Entity Recognition (NER)Translation	—Unverified
A Semi-supervised Learning Approach to Arabic Named Entity Recognition	Sep 1, 2013	named-entity-recognitionNamed Entity Recognition	—Unverified
Evaluating Ensemble Based Pre-annotation on Named Entity Corpus Construction in English and Chinese	Dec 1, 2016	Named Entity Recognition (NER)	—Unverified
Joint Entity Extraction and Assertion Detection for Clinical Text	Dec 13, 2018	DecoderEntity Extraction using GAN	—Unverified
End-to-end model for named entity recognition from speech without paired training data	Apr 2, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
End-to-End Models for Chemical-Protein Interaction Extraction: Better Tokenization and Span-Based Pipeline Strategies	Apr 3, 2023	Chemical-Protein Interaction Extractionnamed-entity-recognition	—Unverified
End-to-end named entity extraction from speech	May 30, 2018	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
A Semi-Supervised BERT Approach for Arabic Named Entity Recognition	Dec 1, 2020	Information RetrievalMachine Translation	—Unverified
A Dataset for ICD-10 Coding of Death Certificates: Creation and Usage	Dec 1, 2016	Named Entity Recognition (NER)	—Unverified
Biomedical Named Entity Recognition using Conditional Random Fields and Rich Feature Sets	Aug 28, 2004	Managementnamed-entity-recognition	—Unverified
Active Learning with Tabular Language Models	Nov 8, 2022	Active LearningComputational Efficiency	—Unverified
An HMM Based Named Entity Recognition System for Indian Languages: The JU System at ICON 2013	May 28, 2014	named-entity-recognitionNamed Entity Recognition	—Unverified
Gaussian Prior Reinforcement Learning for Nested Named Entity Recognition	May 12, 2023	named-entity-recognitionNamed Entity Recognition	—Unverified
Evaluating Large-scale Text Mining Applications Beyond the Traditional Numeric Performance Measures	Aug 1, 2013	Named Entity Recognition (NER)	—Unverified
Evaluating the carbon footprint of NLP methods: a survey and analysis of existing tools	Nov 1, 2021	Deep Learningnamed-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