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 2176–2200 of 2874 papers

Title	Date	Tasks	Status
Multi-Granularity Contrastive Knowledge Distillation for Multimodal Named Entity Recognition	Nov 16, 2021	Knowledge DistillationMulti-modal Named Entity Recognition	—Unverified
Multi-level biomedical NER through multi-granularity embeddings and enhanced labeling	Dec 24, 2023	named-entity-recognitionNamed Entity Recognition	—Unverified
Multilingual Clinical NER: Translation or Cross-lingual Transfer?	Jun 7, 2023	Cross-Lingual Transfernamed-entity-recognition	—Unverified
Multilingual, Efficient and Easy NLP Processing with IXA Pipeline	Apr 1, 2014	Coreference ResolutionNamed Entity Recognition (NER)	—Unverified
Multilingual Epidemic Event Extraction : From Simple Classification Methods to Open Information Extraction (OIE) and Ontology	Sep 1, 2021	EpidemiologyEvent Extraction	—Unverified
Multilingual Language Models for Named Entity Recognition in German and English	Sep 1, 2019	Language ModelingLanguage Modelling	—Unverified
Multilingual Language Processing From Bytes	Dec 1, 2015	named-entity-recognitionNamed Entity Recognition	—Unverified
Multilingual Medical Question Answering and Information Retrieval for Rural Health Intelligence Access	Jun 2, 2021	Information RetrievalMedical Question Answering	—Unverified
Multilingual Named Entity Recognition and Matching Using BERT and Dedupe for Slavic Languages	Apr 1, 2021	Multilingual Named Entity Recognitionnamed-entity-recognition	—Unverified
Multilingual Named Entity Recognition for Medieval Charters Using Stacked Embeddings and Bert-based Models.	Jun 1, 2022	HTRMultilingual Named Entity Recognition	—Unverified
Multilingual Named Entity Recognition on Spanish-English Code-switched Tweets using Support Vector Machines	Jul 1, 2018	Entity LinkingMultilingual Named Entity Recognition	—Unverified
Multilingual Named Entity Recognition using Parallel Data and Metadata from Wikipedia	Jul 1, 2012	Multilingual Named Entity Recognitionnamed-entity-recognition	—Unverified
Multilingual Name Entity Recognition and Intent Classification Employing Deep Learning Architectures	Nov 4, 2022	intent-classificationIntent Classification	—Unverified
Multilingual Sequence-to-Sequence Models for Hebrew NLP	Dec 19, 2022	Decodernamed-entity-recognition	—Unverified
Multilingual Slavic Named Entity Recognition	Apr 1, 2021	Language ModelingLanguage Modelling	—Unverified
Multilingual Training of Crosslingual Word Embeddings	Apr 1, 2017	Bilingual Lexicon InductionDependency Parsing	—Unverified
Multimedia Lab @ ACL WNUT NER Shared Task: Named Entity Recognition for Twitter Microposts using Distributed Word Representations	Jul 1, 2015	named-entity-recognitionNamed Entity Recognition	—Unverified
UXLA: A Robust Unsupervised Data Augmentation Framework for Zero-Resource Cross-Lingual NLP	Apr 28, 2020	Cross-Lingual TransferData Augmentation	—Unverified
Multimodal Named Entity Recognition for Short Social Media Posts	Feb 22, 2018	named-entity-recognitionNamed Entity Recognition	—Unverified
Multiobjective Optimization and Unsupervised Lexical Acquisition for Named Entity Recognition and Classification	Dec 1, 2014	General ClassificationMultiobjective Optimization	—Unverified
Multi-source annotation projection of coreference chains: assessing strategies and testing opportunities	Apr 1, 2017	Coreference ResolutionNamed Entity Recognition (NER)	—Unverified
Multi-source named entity typing for social media	Aug 1, 2016	Entity LinkingEntity Typing	—Unverified
Multi-task Domain Adaptation for Sequence Tagging	Aug 9, 2016	Chinese Word SegmentationDomain Adaptation	—Unverified
Multi-Task Learning for Chemical Named Entity Recognition with Chemical Compound Paraphrasing	Nov 1, 2019	Multi-Task Learningnamed-entity-recognition	—Unverified
Multi-Task Learning of Query Intent and Named Entities using Transfer Learning	Apr 28, 2021	Multi-Task Learningnamed-entity-recognition	—Unverified

Show:10 25 50

← PrevPage 88 of 115Next →

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