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

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Showing 1951–1975 of 2874 papers

Title	Date	Tasks	Status
Jointly Learning Clinical Entities and Relations with Contextual Language Models and Explicit Context	Feb 17, 2021	Multi-Task Learningnamed-entity-recognition	—Unverified
Jointly Trained Sequential Labeling and Classification by Sparse Attention Neural Networks	Sep 28, 2017	ClassificationGeneral Classification	—Unverified
Joint Mention Extraction and Classification with Mention Hypergraphs	Sep 1, 2015	ClassificationCoreference Resolution	—Unverified
Joint Named Entity Recognition and Stance Detection in Tweets	Jul 30, 2017	named-entity-recognitionNamed Entity Recognition	—Unverified
Joint Recognition of Handwritten Text and Named Entities with a Neural End-to-end Model	Mar 16, 2018	Language ModelingLanguage Modelling	—Unverified
Joint Relational Embeddings for Knowledge-based Question Answering	Oct 1, 2014	Named Entity Recognition (NER)Question Answering	—Unverified
Joint Speech Translation and Named Entity Recognition	Oct 21, 2022	Computational EfficiencyEntity Linking	—Unverified
Joint Unsupervised Learning of Semantic Representation of Words and Roles in Dependency Trees	Sep 1, 2017	Named Entity Recognition (NER)Question Answering	—Unverified
Joint Word Alignment and Bilingual Named Entity Recognition Using Dual Decomposition	Aug 1, 2013	Machine Translationnamed-entity-recognition	—Unverified
JRC-Names: A freely available, highly multilingual named entity resource	Sep 24, 2013	Machine TranslationMorphological Inflection	—Unverified
JRC TMA-CC: Slavic Named Entity Recognition and Linking. Participation in the BSNLP-2019 shared task	Aug 1, 2019	named-entity-recognitionNamed Entity Recognition	—Unverified
KALA: Knowledge-Augmented Language Model Adaptation	Nov 16, 2021	Domain AdaptationGeneral Knowledge	—Unverified
“Kanglish alli names!” Named Entity Recognition for Kannada-English Code-Mixed Social Media Data	Oct 1, 2022	named-entity-recognitionNamed Entity Recognition	—Unverified
Kannada named entity recognition and classification (nerc) based on multinomial naïve bayes (mnb) classifier	Sep 12, 2015	General Classificationnamed-entity-recognition	—Unverified
KARL-Trans-NER: Knowledge Aware Representation Learning for Named Entity Recognition using Transformers	Nov 30, 2021	Machine Translationnamed-entity-recognition	—Unverified
KBSET -- Knowledge-Based Support for Scholarly Editing and Text Processing with Declarative LaTeX Markup and a Core Written in SWI-Prolog	Feb 24, 2020	named-entity-recognitionNamed Entity Recognition	—Unverified
KDDIE at SemEval-2022 Task 11: Using DeBERTa for Named Entity Recognition	Jul 1, 2022	named-entity-recognitionNamed Entity Recognition	—Unverified
Key2Vec: Automatic Ranked Keyphrase Extraction from Scientific Articles using Phrase Embeddings	Jun 1, 2018	ArticlesChunking	—Unverified
Key Event Detection in Video using ASR and Visual Data	Aug 1, 2014	Event DetectionFace Alignment	—Unverified
KeyXtract Twitter Model - An Essential Keywords Extraction Model for Twitter Designed using NLP Tools	Aug 9, 2017	Lemmatizationmodel	—Unverified
KFU NLP Team at SMM4H 2019 Tasks: Want to Extract Adverse Drugs Reactions from Tweets? BERT to The Rescue	Aug 1, 2019	named-entity-recognitionNamed Entity Recognition	—Unverified
KinyaBERT: a Morphology-aware Kinyarwanda Language Model	Nov 16, 2021	Language ModelingLanguage Modelling	—Unverified
Kleister: A novel task for Information Extraction involving Long Documents with Complex Layout	Mar 4, 2020	named-entity-recognitionNamed Entity Recognition	—Unverified
KnowDA: All-in-One Knowledge Mixture Model for Data Augmentation in Low-Resource NLP	Jun 21, 2022	AllData Augmentation	—Unverified
Knowledge Acquisition on Mass-shooting Events via LLMs for AI-Driven Justice	Apr 17, 2025	ArticlesFew-Shot Learning	—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