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 2326–2350 of 2874 papers

Title	Date	Tasks	Status
Challenges in the Knowledge Base Population Slot Filling Task	May 1, 2012	DiversityEntity Linking	—Unverified
Character-Aware Neural Networks for Arabic Named Entity Recognition for Social Media	Dec 1, 2016	Feature EngineeringInformation Retrieval	—Unverified
Character-based Bidirectional LSTM-CRF with words and characters for Japanese Named Entity Recognition	Sep 1, 2017	named-entity-recognitionNamed Entity Recognition	—Unverified
Characterizing Misclassifications of Deep NLP Models	Mar 12, 2021	named-entity-recognitionNamed Entity Recognition	—Unverified
Character-Level Feature Extraction with Densely Connected Networks	Jun 24, 2018	named-entity-recognitionNamed Entity Recognition	—Unverified
Character-Level Machine Translation Evaluation for Languages with Ambiguous Word Boundaries	Jul 1, 2012	Machine TranslationNamed Entity Recognition (NER)	—Unverified
Chatbot: A Conversational Agent employed with Named Entity Recognition Model using Artificial Neural Network	Jun 19, 2020	ChatbotInformation Retrieval	—Unverified
Cheap and easy entity evaluation	Jun 1, 2014	Entity LinkingKnowledge Base Population	—Unverified
Cheap Translation for Cross-Lingual Named Entity Recognition	Sep 1, 2017	Cross-Lingual NERnamed-entity-recognition	—Unverified
Chemical detection and indexing in PubMed full text articles using deep learning and rule-based methods	Nov 8, 2021	ArticlesChemical Indexing	—Unverified
Chemical Identification and Indexing in PubMed Articles via BERT and Text-to-Text Approaches	Nov 30, 2021	ArticlesChemical Indexing	—Unverified
Chinese Grammatical Error Diagnosis by Conditional Random Fields	Jul 1, 2015	Named Entity Recognition (NER)	—Unverified
Chinese Grammatical Error Diagnosis with Long Short-Term Memory Networks	Dec 1, 2016	Information RetrievalLanguage Modeling	—Unverified
Chinese Hypernym-Hyponym Extraction from User Generated Categories	Dec 1, 2016	Knowledge GraphsMachine Translation	—Unverified
Chinese Named Entity Recognition via Adaptive Multi-pass Memory Network with Hierarchical Tagging Mechanism	Oct 1, 2020	Chinese Named Entity Recognitionnamed-entity-recognition	—Unverified
Chinese Named Entity Recognition with Graph-based Semi-supervised Learning Model	Jul 1, 2015	Chinese Named Entity Recognitionnamed-entity-recognition	—Unverified
Chinese Name Disambiguation Based on Adaptive Clustering with the Attribute Features	Dec 1, 2012	AttributeClustering	—Unverified
Chinese Personal Name Disambiguation Based on Vector Space Model	Dec 1, 2012	Entity LinkingNamed Entity Recognition (NER)	—Unverified
Chunking Clinical Text Containing Non-Canonical Language	Jun 1, 2014	ChunkingConstituency Parsing	—Unverified
C-ICL: Contrastive In-context Learning for Information Extraction	Feb 17, 2024	In-Context LearningMiscellaneous	—Unverified
Classification Attention for Chinese NER	Sep 25, 2019	Chinese Named Entity RecognitionClassification	—Unverified
Classification of Contract-Amendment Relationships	Jun 8, 2021	ClassificationManagement	—Unverified
Classifying Gene Sentences in Biomedical Literature by Combining High-Precision Gene Identifiers	Jun 1, 2012	Information RetrievalNamed Entity Recognition (NER)	—Unverified
CliNER 2.0: Accessible and Accurate Clinical Concept Extraction	Mar 6, 2018	Clinical Concept ExtractionDecision Making	—Unverified
Clinical Named Entity Recognition using Contextualized Token Representations	Jun 23, 2021	DiagnosticLanguage Modelling	—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