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 1751–1775 of 2874 papers

Title	Date	Tasks	Status
Zero-Shot Document-Level Biomedical Relation Extraction via Scenario-based Prompt Design in Two-Stage with LLM	May 2, 2025	named-entity-recognitionNamed Entity Recognition	—Unverified
FRASIMED: a Clinical French Annotated Resource Produced through Crosslingual BERT-Based Annotation Projection	Sep 19, 2023	named-entity-recognitionNamed Entity Recognition	—Unverified
FRE at SocialDisNER: Joint Learning of Language Models for Named Entity Recognition	Oct 1, 2022	named-entity-recognitionNamed Entity Recognition	—Unverified
From DBpedia and WordNet hierarchies to LinkedIn and Twitter	Jul 1, 2015	Named Entity Recognition (NER)	—Unverified
From Dialogue to Diagram: Task and Relationship Extraction from Natural Language for Accelerated Business Process Prototyping	Dec 16, 2023	coreference-resolutionCoreference Resolution	—Unverified
From ELTeC Text Collection Metadata and Named Entities to Linked-data (and Back)	Jun 1, 2022	Entity Linkingnamed-entity-recognition	—Unverified
From Textual Information Sources to Linked Data in the Agatha Project	Sep 3, 2019	named-entity-recognitionNamed Entity Recognition	—Unverified
From Voice to Safety: Language AI Powered Pilot-ATC Communication Understanding for Airport Surface Movement Collision Risk Assessment	Mar 6, 2025	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Efficient Online ML API Selection for Multi-Label Classification Tasks	Feb 18, 2021	General Classificationimage-classification	—Unverified
F-Score Driven Max Margin Neural Network for Named Entity Recognition in Chinese Social Media	Nov 14, 2016	named-entity-recognitionNamed Entity Recognition	—Unverified
FudanNLP: A Toolkit for Chinese Natural Language Processing	Aug 1, 2013	Dependency ParsingNamed Entity Recognition (NER)	—Unverified
Fusing Heterogeneous Factors with Triaffine Mechanism for Nested Named Entity Recognition	Nov 16, 2021	Classificationnamed-entity-recognition	—Unverified
GAMedX: Generative AI-based Medical Entity Data Extractor Using Large Language Models	May 31, 2024	named-entity-recognitionNamed Entity Recognition	—Unverified
Gated Graph Sequence Neural Networks for Chinese Healthcare Named Entity Recognition	Sep 1, 2020	named-entity-recognitionNamed Entity Recognition	—Unverified
Gaussian Prior Reinforcement Learning for Nested Named Entity Recognition	May 12, 2023	named-entity-recognitionNamed Entity Recognition	—Unverified
Gazetteer-Enhanced Attentive Neural Networks for Named Entity Recognition	Nov 1, 2019	named-entity-recognitionNamed Entity Recognition	—Unverified
GEIC: Universal and Multilingual Named Entity Recognition with Large Language Models	Sep 17, 2024	Multilingual Named Entity Recognitionnamed-entity-recognition	—Unverified
GEMNET: Effective Gated Gazetteer Representations for Recognizing Complex Entities in Low-context Input	Jun 1, 2021	Mixture-of-Expertsnamed-entity-recognition	—Unverified
General Embedding vs. Task-Specific Embedding: A Comparative Approach to Enhancing NLP Performance	Jan 30, 2025	Multi-Task Learning	—Unverified
Generalisation in Named Entity Recognition: A Quantitative Analysis	Jan 11, 2017	Diversitynamed-entity-recognition	—Unverified
Generate it. A simple method for End-to-End Relation Extraction	Jan 16, 2022	named-entity-recognitionNamed Entity Recognition	—Unverified
Generating Abbreviations for Chinese Named Entities Using Recurrent Neural Network with Dynamic Dictionary	Nov 1, 2016	Named Entity Recognition (NER)Opinion Mining	—Unverified
Generating a Resource for Products and Brandnames Recognition. Application to the Cosmetic Domain.	May 1, 2014	named-entity-recognitionNamed Entity Recognition	—Unverified
Generating a Training Corpus for OCR Post-Correction Using Encoder-Decoder Model	Nov 1, 2017	DecoderLanguage Modeling	—Unverified
Generating Information Extraction Patterns from Overlapping and Variable Length Annotations using Sequence Alignment	Aug 9, 2019	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