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 2676–2700 of 2874 papers

Title	Date	Tasks	Status
Extracting Kinship from Obituary to Enhance Electronic Health Records for Genetic Research	Aug 1, 2019	named-entity-recognitionNamed Entity Recognition	—Unverified
Extracting Networks of People and Places from Literary Texts	Nov 1, 2012	Named Entity Recognition (NER)	—Unverified
Extracting periodontitis diagnosis in clinical notes with RoBERTa and regular expression	Nov 17, 2023	named-entity-recognitionNamed Entity Recognition	—Unverified
Extracting Person Names from User Generated Text: Named-Entity Recognition for Combating Human Trafficking	May 1, 2022	Language ModelingLanguage Modelling	—Unverified
Extracting Relational Triples Based on Graph Recursive Neural Network via Dynamic Feedback Forest Algorithm	Aug 22, 2023	Dependency Parsingnamed-entity-recognition	—Unverified
Extracting Relations between Non-Standard Entities using Distant Supervision and Imitation Learning	Sep 1, 2015	Imitation LearningInformation Retrieval	—Unverified
Extracting Semantics from Maintenance Records	Aug 11, 2021	Language Modellingnamed-entity-recognition	—Unverified
Extracting Spatial Entities and Relations in Korean Text	Dec 1, 2016	Entity Extraction using GANNamed Entity Recognition (NER)	—Unverified
Extraction of Gene-Environment Interaction from the Biomedical Literature	Nov 1, 2017	DecoderNamed Entity Recognition (NER)	—Unverified
Extract-Select: A Span Selection Framework for Nested Named Entity Recognition with Generative Adversarial Training	May 1, 2022	named-entity-recognitionNamed Entity Recognition	—Unverified
Extreme Multi-Label Classification with Label Masking for Product Attribute Value Extraction	May 1, 2022	AttributeAttribute Value Extraction	—Unverified
Extrinsic Factors Affecting the Accuracy of Biomedical NER	May 29, 2023	Data Augmentationnamed-entity-recognition	—Unverified
F10-SGD: Fast Training of Elastic-net Linear Models for Text Classification and Named-entity Recognition	Feb 27, 2019	ClassificationGeneral Classification	—Unverified
FaBERT: Pre-training BERT on Persian Blogs	Feb 9, 2024	named-entity-recognitionNamed Entity Recognition	—Unverified
Facebook 活動事件擷取系統(Facebook Activity Event Extraction System)[In Chinese]	Oct 1, 2016	Event ExtractionNamed Entity Recognition (NER)	—Unverified
Fast and Accurate Decision Trees for Natural Language Processing Tasks	Sep 1, 2017	AttributeBIG-bench Machine Learning	—Unverified
Fast and Accurate Recognition of Chinese Clinical Named Entities with Residual Dilated Convolutions	Aug 27, 2018	named-entity-recognitionNamed Entity Recognition	—Unverified
Fast High-Accuracy Part-of-Speech Tagging by Independent Classifiers	Aug 1, 2014	Named Entity Recognition (NER)Part-Of-Speech Tagging	—Unverified
Fast Recursive Multi-class Classification of Pairs of Text Entities for Biomedical Event Extraction	Apr 1, 2014	Event ExtractionGeneral Classification	—Unverified
Feature Aggregation in Zero-Shot Cross-Lingual Transfer Using Multilingual BERT	May 17, 2022	Cross-Lingual TransferLanguage Modeling	—Unverified
Feature-based Neural Language Model and Chinese Word Segmentation	Oct 1, 2013	Chinese Word SegmentationChunking	—Unverified
Feature-Frequency--Adaptive On-line Training for Fast and Accurate Natural Language Processing	Sep 1, 2014	ChunkingNamed Entity Recognition (NER)	—Unverified
Feature-Rich Named Entity Recognition for Bulgarian Using Conditional Random Fields	Sep 26, 2021	Miscellaneousnamed-entity-recognition	—Unverified
Feature-Rich Networks for Knowledge Base Completion	Jul 1, 2017	Entity LinkingKnowledge Base Completion	—Unverified
Feature-Rich Twitter Named Entity Recognition and Classification	Dec 1, 2016	ClassificationEntity Extraction using GAN	—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