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 1626–1650 of 2874 papers

Title	Date	Tasks	Status
E2EET: From Pipeline to End-to-end Entity Typing via Transformer-Based Embeddings	Mar 23, 2020	Entity Typingnamed-entity-recognition	—Unverified
FedNER: Privacy-preserving Medical Named Entity Recognition with Federated Learning	Mar 20, 2020	Federated LearningMedical Named Entity Recognition	—Unverified
NSURL-2019 Task 7: Named Entity Recognition (NER) in Farsi	Mar 19, 2020	named-entity-recognitionNamed Entity Recognition	—Unverified
Distant Supervision and Noisy Label Learning for Low Resource Named Entity Recognition: A Study on Hausa and Yorùbá	Mar 18, 2020	Low Resource Named Entity Recognitionnamed-entity-recognition	—Unverified
Adaptive Name Entity Recognition under Highly Unbalanced Data	Mar 10, 2020	Chatbotnamed-entity-recognition	—Unverified
Neural Cross-Lingual Transfer and Limited Annotated Data for Named Entity Recognition in Danish	Mar 5, 2020	Cross-Lingual Transfernamed-entity-recognition	CodeCode Available
Kleister: A novel task for Information Extraction involving Long Documents with Complex Layout	Mar 4, 2020	named-entity-recognitionNamed Entity Recognition	—Unverified
Integrating Boundary Assembling into a DNN Framework for Named Entity Recognition in Chinese Social Media Text	Feb 27, 2020	Boundary DetectionChinese Word Segmentation	—Unverified
KBSET -- Knowledge-Based Support for Scholarly Editing and Text Processing with Declarative LaTeX Markup and a Core Written in SWI-Prolog	Feb 24, 2020	named-entity-recognitionNamed Entity Recognition	—Unverified
Performance Comparison of Crowdworkers and NLP Tools on Named-Entity Recognition and Sentiment Analysis of Political Tweets	Feb 11, 2020	named-entity-recognitionNamed Entity Recognition	—Unverified
Application of Pre-training Models in Named Entity Recognition	Feb 9, 2020	named-entity-recognitionNamed Entity Recognition	—Unverified
Self-attention-based BiGRU and capsule network for named entity recognition	Jan 30, 2020	named-entity-recognitionNamed Entity Recognition	—Unverified
On the Importance of Word Order Information in Cross-lingual Sequence Labeling	Jan 30, 2020	named-entity-recognitionNamed Entity Recognition	—Unverified
MT-BioNER: Multi-task Learning for Biomedical Named Entity Recognition using Deep Bidirectional Transformers	Jan 24, 2020	domain classificationGeneral Classification	—Unverified
Sequence Labeling Approach to the Task of Sentence Boundary Detection	Jan 20, 2020	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available
A multimodal deep learning approach for named entity recognition from social media	Jan 19, 2020	Information RetrievalMultimodal Deep Learning	—Unverified
A BERT based Sentiment Analysis and Key Entity Detection Approach for Online Financial Texts	Jan 14, 2020	Ensemble LearningMachine Reading Comprehension	—Unverified
Humpty Dumpty: Controlling Word Meanings via Corpus Poisoning	Jan 14, 2020	Data PoisoningInformation Retrieval	—Unverified
Domain-independent Extraction of Scientific Concepts from Research Articles	Jan 9, 2020	Active LearningArticles	CodeCode Available
End-to-end Named Entity Recognition and Relation Extraction using Pre-trained Language Models	Dec 20, 2019	Language ModelingLanguage Modelling	CodeCode Available
A Neural Model for Text Localization, Transcription and Named Entity Recognition in Full Pages	Dec 20, 2019	named-entity-recognitionNamed Entity Recognition	CodeCode Available
Annotating and normalizing biomedical NEs with limited knowledge	Dec 19, 2019	named-entity-recognitionNamed Entity Recognition	—Unverified
MedCAT -- Medical Concept Annotation Tool	Dec 18, 2019	Active LearningEntity Extraction using GAN	—Unverified
Chinese Named Entity Recognition Augmented with Lexicon Memory	Dec 17, 2019	Chinese Named Entity Recognitionnamed-entity-recognition	CodeCode Available
Cross-Lingual Ability of Multilingual BERT: An Empirical Study	Dec 17, 2019	named-entity-recognitionNamed Entity Recognition	—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