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 2226–2250 of 2874 papers

Title	Date	Tasks	Status	Hype
Semi-supervised sequence tagging with bidirectional language models	Apr 29, 2017	Chunkingnamed-entity-recognition	CodeCode Available	0
Semi-supervised Multitask Learning for Sequence Labeling	Apr 24, 2017	ChunkingGrammatical Error Detection	CodeCode Available	1
Differentiable Scheduled Sampling for Credit Assignment	Apr 23, 2017	Machine Translationnamed-entity-recognition	—Unverified	0
SwellShark: A Generative Model for Biomedical Named Entity Recognition without Labeled Data	Apr 20, 2017	named-entity-recognitionNamed Entity Recognition	—Unverified	0
Language-Independent Named Entity Analysis Using Parallel Projection and Rule-Based Disambiguation	Apr 1, 2017	Clusteringnamed-entity-recognition	—Unverified	0
Word Similarity Datasets for Indian Languages: Annotation and Baseline Systems	Apr 1, 2017	Dependency ParsingMachine Translation	—Unverified	0
Arabic POS Tagging: Don't Abandon Feature Engineering Just Yet	Apr 1, 2017	Feature EngineeringNamed Entity Recognition (NER)	—Unverified	0
Elucidating Conceptual Properties from Word Embeddings	Apr 1, 2017	Decision MakingNamed Entity Recognition (NER)	—Unverified	0
Multi-source annotation projection of coreference chains: assessing strategies and testing opportunities	Apr 1, 2017	Coreference ResolutionNamed Entity Recognition (NER)	—Unverified	0
Liner2 --- a Generic Framework for Named Entity Recognition	Apr 1, 2017	Morphological AnalysisMultilingual Named Entity Recognition	—Unverified	0
Creating and Validating Multilingual Semantic Representations for Six Languages: Expert versus Non-Expert Crowds	Apr 1, 2017	Named Entity Recognition (NER)Sentiment Analysis	—Unverified	0
A Twitter Corpus and Benchmark Resources for German Sentiment Analysis	Apr 1, 2017	Named Entity Recognition (NER)Sentiment Analysis	—Unverified	0
Toward Pan-Slavic NLP: Some Experiments with Language Adaptation	Apr 1, 2017	Domain AdaptationLanguage Modeling	—Unverified	0
Multi-word Entity Classification in a Highly Multilingual Environment	Apr 1, 2017	ClassificationGeneral Classification	—Unverified	0
The First Cross-Lingual Challenge on Recognition, Normalization, and Matching of Named Entities in Slavic Languages	Apr 1, 2017	Entity LinkingLemmatization	—Unverified	0
Effective shared representations with Multitask Learning for Community Question Answering	Apr 1, 2017	Community Question AnsweringDocument Ranking	—Unverified	0
TWINE: A real-time system for TWeet analysis via INformation Extraction	Apr 1, 2017	geo-localizationnamed-entity-recognition	—Unverified	0
Building Web-Interfaces for Vector Semantic Models with the WebVectors Toolkit	Apr 1, 2017	Machine TranslationNamed Entity Recognition (NER)	—Unverified	0
Multilingual Training of Crosslingual Word Embeddings	Apr 1, 2017	Bilingual Lexicon InductionDependency Parsing	—Unverified	0
An Extensive Empirical Evaluation of Character-Based Morphological Tagging for 14 Languages	Apr 1, 2017	Language ModelingLanguage Modelling	—Unverified	0
Reconstructing the house from the ad: Structured prediction on real estate classifieds	Apr 1, 2017	Dependency ParsingNamed Entity Recognition (NER)	CodeCode Available	0
Named Entity Recognition in the Medical Domain with Constrained CRF Models	Apr 1, 2017	Entity Extraction using GANnamed-entity-recognition	—Unverified	0
Efficient Benchmarking of NLP APIs using Multi-armed Bandits	Apr 1, 2017	BenchmarkingMulti-Armed Bandits	—Unverified	0
Probabilistic Inference for Cold Start Knowledge Base Population with Prior World Knowledge	Apr 1, 2017	Common Sense ReasoningEntity Linking	—Unverified	0
Building Lexical Vector Representations from Concept Definitions	Apr 1, 2017	Dependency ParsingMachine Translation	—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