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 626–650 of 2874 papers

Title	Date	Tasks	Status
Attribute Value Generation from Product Title using Language Models	Aug 1, 2021	AttributeAttribute Value Extraction	—Unverified
CPE-Identifier: Automated CPE identification and CVE summaries annotation with Deep Learning and NLP	May 22, 2024	named-entity-recognitionNamed Entity Recognition	—Unverified
Attribute based Chinese Named Entity Recognition and Disambiguation	Dec 1, 2012	AttributeChinese Named Entity Recognition	—Unverified
Analysing recall loss in named entity slot filling	Oct 1, 2014	Knowledge Base PopulationNamed Entity Recognition (NER)	—Unverified
A disambiguation resource extracted from Wikipedia for semantic annotation	May 1, 2012	Information RetrievalNamed Entity Recognition (NER)	—Unverified
Attention-based BLSTM-CRF Architecture for Mongolian Named Entity Recognition	Dec 1, 2018	named-entity-recognitionNamed Entity Recognition	—Unverified
Attending to Characters in Neural Sequence Labeling Models	Nov 14, 2016	ChunkingGrammatical Error Detection	—Unverified
An Adaptive Framework for Named Entity Combination	May 1, 2012	named-entity-recognitionNamed Entity Recognition	—Unverified
A Broad-coverage Corpus for Finnish Named Entity Recognition	May 1, 2020	named-entity-recognitionNamed Entity Recognition	—Unverified
Creating a Dataset for Named Entity Recognition in the Archaeology Domain	May 1, 2020	BIG-bench Machine Learningnamed-entity-recognition	—Unverified
Creating and Validating Multilingual Semantic Representations for Six Languages: Expert versus Non-Expert Crowds	Apr 1, 2017	Named Entity Recognition (NER)Sentiment Analysis	—Unverified
Attack Named Entity Recognition by Entity Boundary Interference	May 9, 2023	named-entity-recognitionNamed Entity Recognition	—Unverified
AttackER: Towards Enhancing Cyber-Attack Attribution with a Named Entity Recognition Dataset	Aug 9, 2024	named-entity-recognitionNamed Entity Recognition	—Unverified
A dictionary- and rule-based system for identification of bacteria and habitats in text	Aug 1, 2016	Named Entity Recognition (NER)	—Unverified
基於已知名稱搜尋結果的網路實體辨識模型建立工具(A Tool for Web NER Model Generation Using Search Snippets of Known Entities) [In Chinese]	Oct 1, 2015	Named Entity Recognition (NER)NER	—Unverified
A Multi-Task Learning Framework for Extracting Drugs and Their Interactions from Drug Labels	May 17, 2019	Multi-Task Learningnamed-entity-recognition	—Unverified
A Brief History of Named Entity Recognition	Nov 7, 2024	named-entity-recognitionNamed Entity Recognition	—Unverified
A Multi-task Learning Approach to Adapting Bilingual Word Embeddings for Cross-lingual Named Entity Recognition	Nov 1, 2017	Cross-Lingual TransferMulti-Task Learning	—Unverified
A temporal expression recognition system for medical documents by	Dec 1, 2015	Named Entity Recognition (NER)Question Answering	—Unverified
A Compositional Interpretation of Biomedical Event Factuality	Jun 1, 2015	Named Entity Recognition (NER)Relation Extraction	—Unverified
A Syllable-based Technique for Word Embeddings of Korean Words	Aug 5, 2017	Machine Translationnamed-entity-recognition	—Unverified
A Multi-task Learning Approach for Named Entity Recognition using Local Detection	Apr 5, 2019	Multi-Task Learningnamed-entity-recognition	—Unverified
Coupling Knowledge-Based and Data-Driven Systems for Named Entity Recognition	Apr 1, 2012	Information Retrievalnamed-entity-recognition	—Unverified
COVID-19: A Semantic-Based Pipeline for Recommending Biomedical Entities	Dec 1, 2020	Collaborative Filteringnamed-entity-recognition	—Unverified
A Few-Shot Learning Focused Survey on Recent Named Entity Recognition and Relation Classification Methods	Oct 29, 2023	ClassificationFew-Shot 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	BLSTM-CNN-Char (SparkNLP)	F1	89.13	—	Unverified
5	Spark NLP	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	Spark NLP	F1	89.73	—	Unverified
9	BLSTM-CNN-Char (SparkNLP)	F1	89.73	—	Unverified
10	UniNER-7B	F1	89.34	—	Unverified