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 2501–2525 of 2874 papers

Title	Date	Tasks	Status
Pre-training of Hidden-Unit CRFs	Jul 1, 2015	Named Entity Recognition (NER)Part-Of-Speech Tagging	—Unverified
Embedding Methods for Fine Grained Entity Type Classification	Jul 1, 2015	ClassificationCoreference Resolution	—Unverified
Transferring Coreference Resolvers with Posterior Regularization	Jul 1, 2015	Coreference ResolutionDependency Parsing	—Unverified
On-the-Job Learning with Bayesian Decision Theory	Jun 10, 2015	General Classificationimage-classification	CodeCode Available
Do Multi-Sense Embeddings Improve Natural Language Understanding?	Jun 2, 2015	named-entity-recognitionNamed Entity Recognition	—Unverified
Rule-based Coreference Resolution in German Historic Novels	Jun 1, 2015	coreference-resolutionCoreference Resolution	—Unverified
Named Entity Recognition for Arabic Social Media	Jun 1, 2015	Information Retrievalnamed-entity-recognition	—Unverified
A Compositional Interpretation of Biomedical Event Factuality	Jun 1, 2015	Named Entity Recognition (NER)Relation Extraction	—Unverified
Analyzing English-Spanish Named-Entity enhanced Machine Translation	Jun 1, 2015	Machine TranslationNamed Entity Recognition (NER)	—Unverified
Distributed Word Representations Improve NER for e-Commerce	Jun 1, 2015	Named Entity Recognition (NER)NER	—Unverified
Identifying Argumentation Schemes in Genetics Research Articles	Jun 1, 2015	ArticlesNamed Entity Recognition (NER)	—Unverified
A Pilot Experiment on Exploiting Translations for Literary Studies on Kafka's ``Verwandlung''	Jun 1, 2015	Coreference ResolutionMachine Translation	—Unverified
UNIBA: Combining Distributional Semantic Models and Sense Distribution for Multilingual All-Words Sense Disambiguation and Entity Linking	Jun 1, 2015	AllEntity Linking	—Unverified
IXAGroupEHUSpaceEval: (X-Space) A WordNet-based approach towards the Automatic Recognition of Spatial Information following the ISO-Space Annotation Scheme	Jun 1, 2015	Coreference ResolutionNamed Entity Recognition (NER)	—Unverified
IHS-RD-Belarus: Identification and Normalization of Disorder Concepts in Clinical Notes	Jun 1, 2015	Named Entity Recognition (NER)	—Unverified
UTU: Adapting Biomedical Event Extraction System to Disorder Attribute Detection	Jun 1, 2015	AttributeEvent Extraction	—Unverified
TMUNSW: Identification of Disorders and Normalization to SNOMED-CT Terminology in Unstructured Clinical Notes	Jun 1, 2015	Named Entity Recognition (NER)	—Unverified
EL92: Entity Linking Combining Open Source Annotators via Weighted Voting	Jun 1, 2015	Entity LinkingNamed Entity Recognition (NER)	—Unverified
Sentiue: Target and Aspect based Sentiment Analysis in SemEval-2015 Task 12	Jun 1, 2015	Aspect-Based Sentiment AnalysisAspect-Based Sentiment Analysis (ABSA)	—Unverified
SemEval-2015 Task 14: Analysis of Clinical Text	Jun 1, 2015	Entity LinkingEpidemiology	—Unverified
UTH-CCB: The Participation of the SemEval 2015 Challenge -- Task 14	Jun 1, 2015	Named Entity Recognition (NER)Slot Filling	—Unverified
TeamHCMUS: Analysis of Clinical Text	Jun 1, 2015	Named Entity Recognition (NER)Slot Filling	—Unverified
Combining Open Source Annotators for Entity Linking through Weighted Voting	Jun 1, 2015	Entity LinkingNamed Entity Recognition (NER)	—Unverified
Exploring Relational Features and Learning under Distant Supervision for Information Extraction Tasks	Jun 1, 2015	Named Entity Recognition (NER)Relation Extraction	—Unverified
Narrowing the Loop: Integration of Resources and Linguistic Dataset Development with Interactive Machine Learning	Jun 1, 2015	Active LearningBIG-bench Machine Learning	—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