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 351–375 of 2874 papers

Title	Date	Tasks	Status	Hype
NER-to-MRC: Named-Entity Recognition Completely Solving as Machine Reading Comprehension	May 6, 2023	Machine Reading Comprehensionnamed-entity-recognition	—Unverified	0
From Zero to Hero: Harnessing Transformers for Biomedical Named Entity Recognition in Zero- and Few-shot Contexts	May 5, 2023	few-shot-nerFew-shot NER	CodeCode Available	1
VicunaNER: Zero/Few-shot Named Entity Recognition using Vicuna	May 5, 2023	few-shot-nerFew-shot NER	—Unverified	0
DAMO-NLP at SemEval-2023 Task 2: A Unified Retrieval-augmented System for Multilingual Named Entity Recognition	May 5, 2023	Multilingual Named Entity Recognitionnamed-entity-recognition	—Unverified	0
LLM-RM at SemEval-2023 Task 2: Multilingual Complex NER using XLM-RoBERTa	May 5, 2023	named-entity-recognitionNamed Entity Recognition	—Unverified	0
The Role of Global and Local Context in Named Entity Recognition	May 4, 2023	named-entity-recognitionNamed Entity Recognition	CodeCode Available	0
USTC-NELSLIP at SemEval-2023 Task 2: Statistical Construction and Dual Adaptation of Gazetteer for Multilingual Complex NER	May 4, 2023	named-entity-recognitionNamed Entity Recognition	—Unverified	0
Causal Interventions-based Few-Shot Named Entity Recognition	May 3, 2023	Few-Shot Learningfew-shot-ner	—Unverified	0
Constructing a Knowledge Graph from Textual Descriptions of Software Vulnerabilities in the National Vulnerability Database	Apr 30, 2023	Knowledge Graph EmbeddingsKnowledge Graphs	—Unverified	0
RexUIE: A Recursive Method with Explicit Schema Instructor for Universal Information Extraction	Apr 28, 2023	named-entity-recognitionNamed Entity Recognition	—Unverified	0
ViMQ: A Vietnamese Medical Question Dataset for Healthcare Dialogue System Development	Apr 27, 2023	intent-classificationIntent Classification	CodeCode Available	1
SIMARA: a database for key-value information extraction from full pages	Apr 26, 2023	Handwriting RecognitionHandwritten Text Recognition	—Unverified	0
Technical Report: Impact of Position Bias on Language Models in Token Classification	Apr 26, 2023	named-entity-recognitionNamed Entity Recognition	CodeCode Available	0
BERT Based Clinical Knowledge Extraction for Biomedical Knowledge Graph Construction and Analysis	Apr 21, 2023	Clinical Knowledgegraph construction	—Unverified	0
FindVehicle and VehicleFinder: A NER dataset for natural language-based vehicle retrieval and a keyword-based cross-modal vehicle retrieval system	Apr 21, 2023	CPUGPU	CodeCode Available	1
IXA/Cogcomp at SemEval-2023 Task 2: Context-enriched Multilingual Named Entity Recognition using Knowledge Bases	Apr 20, 2023	Multilingual Named Entity Recognitionnamed-entity-recognition	CodeCode Available	0
Transfer to a Low-Resource Language via Close Relatives: The Case Study on Faroese	Apr 18, 2023	Cross-Lingual Transfernamed-entity-recognition	—Unverified	0
Classification of US Supreme Court Cases using BERT-Based Techniques	Apr 17, 2023	Classificationnamed-entity-recognition	CodeCode Available	0
EasyNER: A Customizable Easy-to-Use Pipeline for Deep Learning- and Dictionary-based Named Entity Recognition from Medical Text	Apr 16, 2023	Articlesnamed-entity-recognition	CodeCode Available	1
MphayaNER: Named Entity Recognition for Tshivenda	Apr 8, 2023	Information Retrievalnamed-entity-recognition	CodeCode Available	0
WikiGoldSK: Annotated Dataset, Baselines and Few-Shot Learning Experiments for Slovak Named Entity Recognition	Apr 8, 2023	Few-Shot Learningnamed-entity-recognition	CodeCode Available	0
Using LSTM and GRU With a New Dataset for Named Entity Recognition in the Arabic Language	Apr 6, 2023	named-entity-recognitionNamed Entity Recognition	—Unverified	0
End-to-End Models for Chemical-Protein Interaction Extraction: Better Tokenization and Span-Based Pipeline Strategies	Apr 3, 2023	Chemical-Protein Interaction Extractionnamed-entity-recognition	—Unverified	0
Task Oriented Conversational Modelling With Subjective Knowledge	Mar 30, 2023	Entity RetrievalKeyword Extraction	CodeCode Available	0
Improving Large Language Models for Clinical Named Entity Recognition via Prompt Engineering	Mar 29, 2023	Few-Shot LearningLanguage Modelling	CodeCode Available	1

Show:10 25 50

← PrevPage 15 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	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