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 2051–2075 of 2874 papers

Title	Date	Tasks	Status	Hype
Evaluation of Domain-specific Word Embeddings using Knowledge Resources	May 1, 2018	ChunkingNamed Entity Recognition (NER)	—Unverified	0
English-Basque Statistical and Neural Machine Translation	May 1, 2018	Machine TranslationNamed Entity Recognition (NER)	—Unverified	0
Sanaphor++: Combining Deep Neural Networks with Semantics for Coreference Resolution	May 1, 2018	coreference-resolutionCoreference Resolution	—Unverified	0
Framing Named Entity Linking Error Types	May 1, 2018	Entity LinkingKnowledge Base Population	CodeCode Available	0
A Deep Neural Network based Approach for Entity Extraction in Code-Mixed Indian Social Media Text	May 1, 2018	Entity Extraction using GANNamed Entity Recognition (NER)	—Unverified	0
On the Vector Representation of Utterances in Dialogue Context	May 1, 2018	Document ClassificationIntent Detection	—Unverified	0
Retrofitting Word Representations for Unsupervised Sense Aware Word Similarities	May 1, 2018	Named Entity Recognition (NER)Question Answering	—Unverified	0
Annotating If the Authors of a Tweet are Located at the Locations They Tweet About	May 1, 2018	Named Entity Recognition (NER)	—Unverified	0
Towards AMR-BR: A SemBank for Brazilian Portuguese Language	May 1, 2018	Entity LinkingMachine Reading Comprehension	—Unverified	0
PDFdigest: an Adaptable Layout-Aware PDF-to-XML Textual Content Extractor for Scientific Articles	May 1, 2018	ArticlesNamed Entity Recognition (NER)	—Unverified	0
Language adaptation experiments via cross-lingual embeddings for related languages	May 1, 2018	Domain AdaptationInformation Retrieval	—Unverified	0
A Legal Perspective on Training Models for Natural Language Processing	May 1, 2018	Named Entity Recognition (NER)	—Unverified	0
E-magyar -- A Digital Language Processing System	May 1, 2018	Named Entity Recognition (NER)	—Unverified	0
Label-aware Double Transfer Learning for Cross-Specialty Medical Named Entity Recognition	Apr 24, 2018	Medical Named Entity Recognitionnamed-entity-recognition	—Unverified	0
Efficient Contextualized Representation: Language Model Pruning for Sequence Labeling	Apr 20, 2018	Language ModelingLanguage Modelling	CodeCode Available	0
Arabic Named Entity Recognition using Word Representations	Apr 16, 2018	Clusteringnamed-entity-recognition	—Unverified	0
Incorporating Dictionaries into Deep Neural Networks for the Chinese Clinical Named Entity Recognition	Apr 13, 2018	Feature Engineeringnamed-entity-recognition	—Unverified	0
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	0
Joint Recognition of Handwritten Text and Named Entities with a Neural End-to-end Model	Mar 16, 2018	Language ModelingLanguage Modelling	—Unverified	0
A Study of Recent Contributions on Information Extraction	Mar 15, 2018	BIG-bench Machine Learningnamed-entity-recognition	—Unverified	0
A Feature-Rich Vietnamese Named-Entity Recognition Model	Mar 12, 2018	Chunkingmodel	CodeCode Available	0
CliNER 2.0: Accessible and Accurate Clinical Concept Extraction	Mar 6, 2018	Clinical Concept ExtractionDecision Making	—Unverified	0
Multimodal Named Entity Recognition for Short Social Media Posts	Feb 22, 2018	named-entity-recognitionNamed Entity Recognition	—Unverified	0
Deep contextualized word representations	Feb 15, 2018	Citation Intent ClassificationConversational Response Selection	CodeCode Available	1
A Deep Neural Network Model for the Task of Named Entity Recognition	Feb 1, 2018	named-entity-recognitionNamed Entity Recognition	CodeCode Available	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