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 601–625 of 2874 papers

Title	Date	Tasks	Status	Score
Few-Shot Domain Adaptation for Named-Entity Recognition via Joint Constrained k-Means and Subspace Selection	Nov 30, 2024	Domain Adaptationfew-shot-ner	CodeCode Available	5
FewTopNER: Integrating Few-Shot Learning with Topic Modeling and Named Entity Recognition in a Multilingual Framework	Feb 4, 2025	Entity DisambiguationFew-Shot Learning	CodeCode Available	5
A Comparison between Named Entity Recognition Models in the Biomedical Domain	Jul 1, 2021	named-entity-recognitionNamed Entity Recognition	CodeCode Available	5
Few-shot classification in Named Entity Recognition Task	Dec 14, 2018	ClassificationGeneral Classification	CodeCode Available	5
A Silver Standard Corpus of Human Phenotype-Gene Relations	Mar 26, 2019	named-entity-recognitionNamed Entity Recognition	CodeCode Available	5
Alleviating Digitization Errors in Named Entity Recognition for Historical Documents	Nov 1, 2020	named-entity-recognitionNamed Entity Recognition	CodeCode Available	5
Feature-Dependent Confusion Matrices for Low-Resource NER Labeling with Noisy Labels	Oct 14, 2019	Low Resource Named Entity Recognitionnamed-entity-recognition	CodeCode Available	5
Using Chinese Glyphs for Named Entity Recognition	Sep 22, 2019	named-entity-recognitionNamed Entity Recognition	CodeCode Available	5
A Little Annotation does a Lot of Good: A Study in Bootstrapping Low-resource Named Entity Recognizers	Aug 23, 2019	Active LearningCross-Lingual Transfer	CodeCode Available	5
Fast Intent Classification for Spoken Language Understanding	Dec 3, 2019	ClassificationDecision Making	CodeCode Available	5
FENEC : un corpus équilibré pour l’évaluation des entités nommées en français (FENEC : a balanced sample corpus for French named entity recognition )	Jun 1, 2022	named-entity-recognitionNamed Entity Recognition	CodeCode Available	5
A Boundary Offset Prediction Network for Named Entity Recognition	Oct 23, 2023	named-entity-recognitionNamed Entity Recognition	CodeCode Available	5
Aligning Multilingual Embeddings for Improved Code-switched Natural Language Understanding	Oct 1, 2022	named-entity-recognitionNamed Entity Recognition	CodeCode Available	5
A Russian Jeopardy! Data Set for Question-Answering Systems	Dec 4, 2021	named-entity-recognitionNamed Entity Recognition	CodeCode Available	5
"FIJO": a French Insurance Soft Skill Detection Dataset	Apr 11, 2022	named-entity-recognitionNamed Entity Recognition	CodeCode Available	5
Gazetteer-Enhanced Bangla Named Entity Recognition with BanglaBERT Semantic Embeddings K-Means-Infused CRF Model	Jan 30, 2024	named-entity-recognitionNamed Entity Recognition	CodeCode Available	5
IgboBERT Models: Building and Training Transformer Models for the Igbo Language	Jun 1, 2022	Language ModelingLanguage Modelling	CodeCode Available	5
Exploring Segment Representations for Neural Segmentation Models	Apr 19, 2016	Chinese Word Segmentationnamed-entity-recognition	CodeCode Available	5
Exploring Partial Knowledge Base Inference in Biomedical Entity Linking	Mar 18, 2023	Entity DisambiguationEntity Linking	CodeCode Available	5
Leveraging Cross-Lingual Transfer Learning in Spoken Named Entity Recognition Systems	Jul 3, 2023	Cross-Lingual Transfernamed-entity-recognition	CodeCode Available	5
Exploring Swedish & English fastText Embeddings for NER with the Transformer	Jul 23, 2020	named-entity-recognitionNamed Entity Recognition	CodeCode Available	5
Evolution of ESG-focused DLT Research: An NLP Analysis of the Literature	Aug 23, 2023	Language ModelingLanguage Modelling	CodeCode Available	5
Explicitly Capturing Relations between Entity Mentions via Graph Neural Networks for Domain-specific Named Entity Recognition	Aug 1, 2021	named-entity-recognitionNamed Entity Recognition	CodeCode Available	5
A Resource-Light Method for Cross-Lingual Semantic Textual Similarity	Jan 19, 2018	Cross-Lingual Information RetrievalCross-Lingual Semantic Textual Similarity	CodeCode Available	5
Clinical Flair: A Pre-Trained Language Model for Spanish Clinical Natural Language Processing	Jul 1, 2022	Language ModelingLanguage Modelling	CodeCode Available	5

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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