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 1326–1350 of 2874 papers

Title	Date	Tasks	Status
Switching Contexts: Transportability Measures for NLP	May 3, 2021	named-entity-recognitionNamed Entity Recognition	CodeCode Available
Applying and Sharing pre-trained BERT-models for Named Entity Recognition and Classification in Swedish Electronic Patient Records	May 1, 2021	De-identificationnamed-entity-recognition	—Unverified
Knowledge Distillation for Swedish NER models: A Search for Performance and Efficiency	May 1, 2021	Knowledge DistillationModel Compression	—Unverified
Multi-Task Learning of Query Intent and Named Entities using Transfer Learning	Apr 28, 2021	Multi-Task Learningnamed-entity-recognition	—Unverified
Named Entity Recognition and Linking Augmented with Large-Scale Structured Data	Apr 27, 2021	Lemmatizationnamed-entity-recognition	—Unverified
Optimizing small BERTs trained for German NER	Apr 23, 2021	named-entity-recognitionNamed Entity Recognition	CodeCode Available
Mitigating Temporal-Drift: A Simple Approach to Keep NER Models Crisp	Apr 20, 2021	named-entity-recognitionNamed Entity Recognition	CodeCode Available
BERTić -- The Transformer Language Model for Bosnian, Croatian, Montenegrin and Serbian	Apr 19, 2021	Commonsense Causal ReasoningLanguage Modeling	—Unverified
InferNER: an attentive model leveraging the sentence-level information for Named Entity Recognition in Microblogs	Apr 18, 2021	named-entity-recognitionNamed Entity Recognition	—Unverified
Memorisation versus Generalisation in Pre-trained Language Models	Apr 16, 2021	Few-Shot LearningLow Resource Named Entity Recognition	CodeCode Available
BERT based Transformers lead the way in Extraction of Health Information from Social Media	Apr 15, 2021	Binary ClassificationClassification	CodeCode Available
UIT-E10dot3 at SemEval-2021 Task 5: Toxic Spans Detection with Named Entity Recognition and Question-Answering Approaches	Apr 15, 2021	named-entity-recognitionNamed Entity Recognition	—Unverified
Regularization for Long Named Entity Recognition	Apr 15, 2021	named-entity-recognitionNamed Entity Recognition	CodeCode Available
Zero-Resource Multi-Dialectal Arabic Natural Language Understanding	Apr 14, 2021	named-entity-recognitionNamed Entity Recognition	—Unverified
UTNLP at SemEval-2021 Task 5: A Comparative Analysis of Toxic Span Detection using Attention-based, Named Entity Recognition, and Ensemble Models	Apr 10, 2021	named-entity-recognitionNamed Entity Recognition	CodeCode Available
Not All Attention Is All You Need	Apr 10, 2021	AllDocument Classification	—Unverified
Semantic Distance: A New Metric for ASR Performance Analysis Towards Spoken Language Understanding	Apr 5, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Effect of depth order on iterative nested named entity recognition models	Apr 2, 2021	named-entity-recognitionNamed Entity Recognition	—Unverified
Dynamic Graph Transformer for Implicit Tag Recognition	Apr 1, 2021	named-entity-recognitionNamed Entity Recognition	—Unverified
Dynamic Ensembles in Named Entity Recognition for Historical Arabic Texts	Apr 1, 2021	named-entity-recognitionNamed Entity Recognition	—Unverified
BERTić - The Transformer Language Model for Bosnian, Croatian, Montenegrin and Serbian	Apr 1, 2021	Commonsense Causal ReasoningLanguage Modeling	—Unverified
Benchmarking Pre-trained Language Models for Multilingual NER: TraSpaS at the BSNLP2021 Shared Task	Apr 1, 2021	BenchmarkingLanguage Modeling	CodeCode Available
Memorization vs. Generalization : Quantifying Data Leakage in NLP Performance Evaluation	Apr 1, 2021	Memorizationnamed-entity-recognition	—Unverified
Using a Frustratingly Easy Domain and Tagset Adaptation for Creating Slavic Named Entity Recognition Systems	Apr 1, 2021	Domain AdaptationMiscellaneous	CodeCode Available
GEPSA, a tool for monitoring social challenges in digital press	Apr 1, 2021	ClassificationData Visualization	—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