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 476–500 of 2874 papers

Title	Date	Tasks	Status	Hype
Intriguing Properties of Compression on Multilingual Models	Nov 4, 2022	named-entity-recognitionNamed Entity Recognition	—Unverified	0
Material Named Entity Recognition (MNER) for Knowledge-driven Materials Using Deep Learning Approach	Nov 4, 2022	Articlesnamed-entity-recognition	—Unverified	0
Multilingual Name Entity Recognition and Intent Classification Employing Deep Learning Architectures	Nov 4, 2022	intent-classificationIntent Classification	—Unverified	0
Unintended Memorization and Timing Attacks in Named Entity Recognition Models	Nov 4, 2022	Memorizationnamed-entity-recognition	—Unverified	0
H_eval: A new hybrid evaluation metric for automatic speech recognition tasks	Nov 3, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified	0
Improving Named Entity Recognition in Telephone Conversations via Effective Active Learning with Human in the Loop	Nov 2, 2022	Active Learningnamed-entity-recognition	—Unverified	0
An Easy-to-use and Robust Approach for the Differentially Private De-Identification of Clinical Textual Documents	Nov 2, 2022	De-identificationnamed-entity-recognition	—Unverified	0
RoBERTa-based Traditional Chinese Medicine Named Entity Recognition Model	Nov 1, 2022	Articlesnamed-entity-recognition	CodeCode Available	0
CrowNER at Rocling 2022 Shared Task: NER using MacBERT and Adversarial Training	Nov 1, 2022	Data Augmentationnamed-entity-recognition	—Unverified	0
Overview of the ROCLING 2022 Shared Task for Chinese Healthcare Named Entity Recognition	Nov 1, 2022	Chinese Named Entity Recognitionnamed-entity-recognition	—Unverified	0
Multifaceted Assessments of Traditional Chinese Word Segmentation Tool on Large Corpora	Nov 1, 2022	Chinese Word SegmentationGPU	—Unverified	0
MIGBaseline at ROCLING 2022 Shared Task: Report on Named Entity Recognition Using Chinese Healthcare Datasets	Nov 1, 2022	named-entity-recognitionNamed Entity Recognition	—Unverified	0
SCU-MESCLab at ROCLING-2022 Shared Task: Named Entity Recognition Using BERT Classifier	Nov 1, 2022	named-entity-recognitionNamed Entity Recognition	—Unverified	0
NERVE at ROCLING 2022 Shared Task: A Comparison of Three Named Entity Recognition Frameworks Based on Language Model and Lexicon Approach	Nov 1, 2022	Language ModelingLanguage Modelling	—Unverified	0
YNU-HPCC at ROCLING 2022 Shared Task: A Transformer-based Model with Focal Loss and Regularization Dropout for Chinese Healthcare Named Entity Recognition	Nov 1, 2022	Ensemble Learningnamed-entity-recognition	CodeCode Available	0
SCU-NLP at ROCLING 2022 Shared Task: Experiment and Error Analysis of Biomedical Entity Detection Model	Nov 1, 2022	named-entity-recognitionNamed Entity Recognition	—Unverified	0
CCS Explorer: Relevance Prediction, Extractive Summarization, and Named Entity Recognition from Clinical Cohort Studies	Nov 1, 2022	ArticlesDrug Discovery	—Unverified	0
Recognizing Nested Entities from Flat Supervision: A New NER Subtask, Feasibility and Challenges	Nov 1, 2022	named-entity-recognitionNamed Entity Recognition	—Unverified	0
TOE: A Grid-Tagging Discontinuous NER Model Enhanced by Embedding Tag/Word Relations and More Fine-Grained Tags	Nov 1, 2022	named-entity-recognitionNamed Entity Recognition	CodeCode Available	1
QNet: A Quantum-native Sequence Encoder Architecture	Oct 31, 2022	named-entity-recognitionNamed Entity Recognition	—Unverified	0
Token-level Sequence Labeling for Spoken Language Understanding using Compositional End-to-End Models	Oct 27, 2022	named-entity-recognitionNamed Entity Recognition	—Unverified	0
Unsupervised Boundary-Aware Language Model Pretraining for Chinese Sequence Labeling	Oct 27, 2022	Chinese Named Entity RecognitionChinese Word Segmentation	CodeCode Available	0
Autoregressive Structured Prediction with Language Models	Oct 26, 2022	Coreference ResolutionNamed Entity Recognition	CodeCode Available	1
A practical method for occupational skills detection in Vietnamese job listings	Oct 26, 2022	named-entity-recognitionNamed Entity Recognition	—Unverified	0
Progressive Sentiment Analysis for Code-Switched Text Data	Oct 25, 2022	Cross-Lingual Transfernamed-entity-recognition	CodeCode Available	0

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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