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 701–725 of 2874 papers

Title	Date	Tasks	Status	Hype
Wojood: Nested Arabic Named Entity Corpus and Recognition using BERT	May 19, 2022	Multi-Task Learningnamed-entity-recognition	CodeCode Available	1
Topic Segmentation of Research Article Collections	May 18, 2022	Articlesnamed-entity-recognition	—Unverified	0
A reproducible experimental survey on biomedical sentence similarity: a string-based method sets the state of the art	May 18, 2022	Articlesnamed-entity-recognition	—Unverified	0
Feature Aggregation in Zero-Shot Cross-Lingual Transfer Using Multilingual BERT	May 17, 2022	Cross-Lingual TransferLanguage Modeling	—Unverified	0
Hero-Gang Neural Model For Named Entity Recognition	May 15, 2022	modelnamed-entity-recognition	CodeCode Available	1
ViT5: Pretrained Text-to-Text Transformer for Vietnamese Language Generation	May 13, 2022	Abstractive Text SummarizationDecoder	CodeCode Available	1
NFLAT: Non-Flat-Lattice Transformer for Chinese Named Entity Recognition	May 12, 2022	Chinese Named Entity Recognitionnamed-entity-recognition	CodeCode Available	1
Lifting the Curse of Multilinguality by Pre-training Modular Transformers	May 12, 2022	named-entity-recognitionNamed Entity Recognition	—Unverified	0
NER-MQMRC: Formulating Named Entity Recognition as Multi Question Machine Reading Comprehension	May 12, 2022	AttributeMachine Reading Comprehension	—Unverified	0
Comparing Open Arabic Named Entity Recognition Tools	May 12, 2022	Articlesnamed-entity-recognition	—Unverified	0
DISARM: Detecting the Victims Targeted by Harmful Memes	May 11, 2022	Named Entity RecognitionNamed Entity Recognition (NER)	CodeCode Available	0
Ontology-Driven and Weakly Supervised Rare Disease Identification from Clinical Notes	May 11, 2022	Entity Linkingnamed-entity-recognition	CodeCode Available	1
Good Visual Guidance Makes A Better Extractor: Hierarchical Visual Prefix for Multimodal Entity and Relation Extraction	May 7, 2022	named-entity-recognitionNamed Entity Recognition	CodeCode Available	1
Biographical: A Semi-Supervised Relation Extraction Dataset	May 2, 2022	ArticlesKnowledge Graphs	—Unverified	0
Wav2Seq: Pre-training Speech-to-Text Encoder-Decoder Models Using Pseudo Languages	May 2, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available	1
GNNer: Reducing Overlapping in Span-based NER Using Graph Neural Networks	May 1, 2022	named-entity-recognitionNamed Entity Recognition	CodeCode Available	1
Towards Fine-grained Classification of Climate Change related Social Media Text	May 1, 2022	ClassificationDecision Making	—Unverified	0
Phone-ing it in: Towards Flexible Multi-Modal Language Model Training by Phonetic Representations of Data	May 1, 2022	Language ModelingLanguage Modelling	CodeCode Available	0
Uncertainty Estimation of Transformer Predictions for Misclassification Detection	May 1, 2022	Active LearningAdversarial Attack	CodeCode Available	0
TeluguNER: Leveraging Multi-Domain Named Entity Recognition with Deep Transformers	May 1, 2022	named-entity-recognitionNamed Entity Recognition	—Unverified	0
Biomedical NER using Novel Schema and Distant Supervision	May 1, 2022	Medical Named Entity Recognitionnamed-entity-recognition	—Unverified	0
Few-Shot Class-Incremental Learning for Named Entity Recognition	May 1, 2022	class-incremental learningClass Incremental Learning	—Unverified	0
Auxiliary Learning for Named Entity Recognition with Multiple Auxiliary Biomedical Training Data	May 1, 2022	Auxiliary LearningMulti-Task Learning	—Unverified	0
Extreme Multi-Label Classification with Label Masking for Product Attribute Value Extraction	May 1, 2022	AttributeAttribute Value Extraction	—Unverified	0
Extract-Select: A Span Selection Framework for Nested Named Entity Recognition with Generative Adversarial Training	May 1, 2022	named-entity-recognitionNamed Entity Recognition	—Unverified	0

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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