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 676–700 of 2874 papers

Title	Date	Tasks	Status
Connecting Distant Entities with Induction through Conditional Random Fields for Named Entity Recognition: Precursor-Induced CRF	May 26, 2018	named-entity-recognitionNamed Entity Recognition	—Unverified
Assessing the Performance of Chinese Open Source Large Language Models in Information Extraction Tasks	Jun 4, 2024	Language ModelingLanguage Modelling	—Unverified
CU-NLP at SemEval-2016 Task 8: AMR Parsing using LSTM-based Recurrent Neural Networks	Jun 1, 2016	Abstract Meaning RepresentationAMR Parsing	—Unverified
Confidence penalty, annealing Gaussian noise and zoneout for biLSTM-CRF networks for named entity recognition	Aug 13, 2018	Decodernamed-entity-recognition	—Unverified
Confidence estimation of classification based on the distribution of the neural network output layer	Oct 14, 2022	image-classificationImage Classification	—Unverified
Assessing multiple word embeddings for named entity recognition of professions and occupations in health-related social media	Jun 1, 2021	named-entity-recognitionNamed Entity Recognition	—Unverified
CoNECo: A corpus for named entity recognition and normalization of protein complexes	May 18, 2024	named-entity-recognitionNamed Entity Recognition	—Unverified
Computing Word Classes Using Spectral Clustering	Aug 16, 2018	ClusteringDependency Parsing	—Unverified
A More Efficient Chinese Named Entity Recognition base on BERT and Syntactic Analysis	Jan 11, 2021	Chinese Named Entity RecognitionChinese Word Segmentation	—Unverified
Assessment of DistilBERT performance on Named Entity Recognition task for the detection of Protected Health Information and medical concepts	Nov 1, 2020	named-entity-recognitionNamed Entity Recognition	—Unverified
Constrained Labeled Data Generation for Low-Resource Named Entity Recognition	Aug 1, 2021	Cross-Lingual NERLow Resource Named Entity Recognition	—Unverified
Constructing a Knowledge Graph from Textual Descriptions of Software Vulnerabilities in the National Vulnerability Database	Apr 30, 2023	Knowledge Graph EmbeddingsKnowledge Graphs	—Unverified
Constructing a Korean Named Entity Recognition Dataset for the Financial Domain using Active Learning	Dec 1, 2020	Active Learningnamed-entity-recognition	—Unverified
Constructing a Word Similarity Graph from Vector based Word Representation for Named Entity Recognition	Jul 9, 2018	named-entity-recognitionNamed Entity Recognition	—Unverified
Constructing Uyghur Name Entity Recognition System using Neural Machine Translation Tag Projection	Oct 1, 2020	Machine Translationnamed-entity-recognition	—Unverified
A Deeper Study on Features for Named Entity Recognition	May 1, 2020	BIG-bench Machine Learningfeature selection	—Unverified
Curating Grounded Synthetic Data with Global Perspectives for Equitable AI	Jun 10, 2024	ArticlesDiversity	—Unverified
context2vec: Learning Generic Context Embedding with Bidirectional LSTM	Aug 1, 2016	ChunkingCoreference Resolution	—Unverified
Context-aware Adversarial Training for Name Regularity Bias in Named Entity Recognition	Jul 24, 2021	Data Augmentationnamed-entity-recognition	—Unverified
Context-aware Fine-tuning of Self-supervised Speech Models	Dec 16, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
A Study of the Importance of External Knowledge in the Named Entity Recognition Task	Jul 1, 2018	named-entity-recognitionNamed Entity Recognition	—Unverified
A Study on the Integration of Pre-trained SSL, ASR, LM and SLU Models for Spoken Language Understanding	Nov 10, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Context-Sensitive Recognition for Emerging and Rare Entities	Sep 1, 2017	Information Retrievalnamed-entity-recognition	—Unverified
Contextual Characters with Segmentation Representation for Named Entity Recognition in Chinese	Oct 1, 2020	named-entity-recognitionNamed Entity Recognition	—Unverified
Computer Science Articles Named Entity Recognition Datasets: Survey and Our Recent Development	Nov 16, 2021	Articlesnamed-entity-recognition	—Unverified

Show:10 25 50

← PrevPage 28 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