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 926–950 of 2874 papers

Title	Date	Tasks	Status
Drop-out Conditional Random Fields for Twitter with Huge Mined Gazetteer	Jun 1, 2016	Named Entity Recognition (NER)Word Embeddings	—Unverified
Comparative Analysis of Extrinsic Factors for NER in French	Oct 16, 2024	Data Augmentationnamed-entity-recognition	—Unverified
Comparative Analysis of Encoder-Based NER and Large Language Models for Skill Extraction from Russian Job Vacancies	Jul 29, 2024	named-entity-recognitionNamed Entity Recognition	—Unverified
Comparable Study of Event Extraction in Newswire and Biomedical Domains	Aug 1, 2014	Event ExtractionNamed Entity Recognition (NER)	—Unverified
Dual Coordinate Descent Algorithms for Efficient Large Margin Structured Prediction	Jan 1, 2013	Dependency ParsingDocument Summarization	—Unverified
Dutch Named Entity Recognition and De-identification Methods for the Human Resource Domain	Jun 4, 2021	De-identificationnamed-entity-recognition	—Unverified
ComboNER: A Lightweight All-In-One POS Tagger, Dependency Parser and NER	Sep 1, 2021	AllDependency Parsing	—Unverified
Dynamic Ensembles in Named Entity Recognition for Historical Arabic Texts	Apr 1, 2021	named-entity-recognitionNamed Entity Recognition	—Unverified
Dynamic Feature Induction: The Last Gist to the State-of-the-Art	Jun 1, 2016	Feature EngineeringNamed Entity Recognition (NER)	—Unverified
A Simple and Efficient Probabilistic Language model for Code-Mixed Text	Jun 29, 2021	Information RetrievalLanguage Identification	—Unverified
AlpacaTag: An Active Learning-based Crowd Annotation Framework for Sequence Tagging	Jul 1, 2019	Active Learningnamed-entity-recognition	—Unverified
Better Word Representations with Recursive Neural Networks for Morphology	Aug 1, 2013	Language ModellingNamed Entity Recognition (NER)	—Unverified
Dynamic Transfer Learning for Named Entity Recognition	Dec 13, 2018	Model Optimizationnamed-entity-recognition	—Unverified
Combining Visual and Textual Features for Information Extraction from Online Flyers	Oct 1, 2014	Named Entity Recognition (NER)	—Unverified
EAGER: Extending Automatically Gazetteers for Entity Recognition	Jul 1, 2012	Named Entity Recognition (NER)	—Unverified
Combining Open Source Annotators for Entity Linking through Weighted Voting	Jun 1, 2015	Entity LinkingNamed Entity Recognition (NER)	—Unverified
NILE: Fast Natural Language Processing for Electronic Health Records	Nov 23, 2013	named-entity-recognitionNamed Entity Recognition	—Unverified
Combining neural and knowledge-based approaches to Named Entity Recognition in Polish	Nov 26, 2018	Entity Linkingnamed-entity-recognition	—Unverified
EDRAK: Entity-Centric Data Resource for Arabic Knowledge	Jul 1, 2015	Information RetrievalNamed Entity Recognition (NER)	—Unverified
Effective Context and Fragment Feature Usage for Named Entity Recognition	Apr 5, 2019	named-entity-recognitionNamed Entity Recognition	—Unverified
Effectiveness of Character Language Model for Vietnamese Named Entity Recognition	Dec 1, 2018	Language ModelingLanguage Modelling	—Unverified
Combining Minimally-supervised Methods for Arabic Named Entity Recognition	Jan 1, 2015	named-entity-recognitionNamed Entity Recognition	—Unverified
Effective shared representations with Multitask Learning for Community Question Answering	Apr 1, 2017	Community Question AnsweringDocument Ranking	—Unverified
Bidirectional LSTM for Named Entity Recognition in Twitter Messages	Dec 1, 2016	Feature Engineeringnamed-entity-recognition	—Unverified
A Local Detection Approach for Named Entity Recognition and Mention Detection	Jul 1, 2017	Feature EngineeringImage Classification	—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