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 451–475 of 2874 papers

Title	Date	Tasks	Status	Score
AdvPicker: Effectively Leveraging Unlabeled Data via Adversarial Discriminator for Cross-Lingual NER	Jun 4, 2021	Cross-Lingual NERMachine Translation	CodeCode Available	5
Framing Named Entity Linking Error Types	May 1, 2018	Entity LinkingKnowledge Base Population	CodeCode Available	5
A Feature-Based Model for Nested Named-Entity Recognition at VLSP-2018 NER Evaluation Campaign	Mar 22, 2018	named-entity-recognitionNamed Entity Recognition	CodeCode Available	5
BEKG: A Built Environment Knowledge Graph	Nov 5, 2022	named-entity-recognitionNamed Entity Recognition	CodeCode Available	5
From Cloze to Comprehension: Retrofitting Pre-trained Masked Language Model to Pre-trained Machine Reader	Dec 9, 2022	ClassificationExtractive Question-Answering	CodeCode Available	5
GCDT: A Global Context Enhanced Deep Transition Architecture for Sequence Labeling	Jun 6, 2019	ChunkingNamed Entity Recognition (NER)	CodeCode Available	5
FonMTL: Towards Multitask Learning for the Fon Language	Aug 28, 2023	Language Modellingnamed-entity-recognition	CodeCode Available	5
Foreseeing the Benefits of Incidental Supervision	Jun 9, 2020	InformativenessLearning Theory	CodeCode Available	5
A Bayesian Approach for Sequence Tagging with Crowds	Nov 2, 2018	Active LearningArgument Mining	CodeCode Available	5
Adversarial Transfer Learning for Chinese Named Entity Recognition with Self-Attention Mechanism	Oct 1, 2018	Chinese Named Entity RecognitionChinese Word Segmentation	CodeCode Available	5
Batavia asked for advice. Pretrained language models for Named Entity Recognition in historical texts.	Nov 1, 2021	named-entity-recognitionNamed Entity Recognition	CodeCode Available	5
A Neural Multi-digraph Model for Chinese NER with Gazetteers	Jul 1, 2019	named-entity-recognitionNamed Entity Recognition	CodeCode Available	5
Baseline Needs More Love: On Simple Word-Embedding-Based Models and Associated Pooling Mechanisms	May 24, 2018	Document ClassificationGeneral Classification	CodeCode Available	5
An Empirical Investigation Towards Efficient Multi-Domain Language Model Pre-training	Oct 1, 2020	ClusteringLanguage Modeling	CodeCode Available	5
Baseline: A Library for Rapid Modeling, Experimentation and Development of Deep Learning Algorithms targeting NLP	Jul 1, 2018	Deep LearningLanguage Modeling	CodeCode Available	5
Finetuning BERT on Partially Annotated NER Corpora	Nov 25, 2022	named-entity-recognitionNamed Entity Recognition	CodeCode Available	5
FLAIR: An Easy-to-Use Framework for State-of-the-Art NLP	Jun 1, 2019	ChunkingNamed Entity Recognition (NER)	CodeCode Available	5
Formulating Few-shot Fine-tuning Towards Language Model Pre-training: A Pilot Study on Named Entity Recognition	May 24, 2022	Few-shot NERLanguage Modeling	CodeCode Available	5
Generalizing Few-Shot Named Entity Recognizers to Unseen Domains with Type-Related Features	Oct 15, 2023	Data Augmentationfew-shot-ner	CodeCode Available	5
A neural network multi-task learning approach to biomedical named entity recognition	Aug 15, 2017	AnatomyMulti-Task Learning	CodeCode Available	5
BANER: Boundary-Aware LLMs for Few-Shot Named Entity Recognition	Dec 3, 2024	Contrastive Learningdomain classification	CodeCode Available	5
BAND: Biomedical Alert News Dataset	May 23, 2023	ArticlesEpidemiology	CodeCode Available	5
Adversarial Self-Attention for Language Understanding	Jun 25, 2022	Machine Reading ComprehensionNamed Entity Recognition (NER)	CodeCode Available	5
Bidirectional LSTM-CRF Models for Sequence Tagging	Aug 9, 2015	ChunkingNamed Entity Recognition (NER)	CodeCode Available	5
Backdoor Pre-trained Models Can Transfer to All	Oct 30, 2021	AllBackdoor Attack	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