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 1601–1625 of 2874 papers

Title	Date	Tasks	Status	Hype
Sequence Labeling Approach to the Task of Sentence Boundary Detection	Jan 20, 2020	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available	0
A multimodal deep learning approach for named entity recognition from social media	Jan 19, 2020	Information RetrievalMultimodal Deep Learning	—Unverified	0
FGN: Fusion Glyph Network for Chinese Named Entity Recognition	Jan 15, 2020	Chinese Named Entity Recognitionnamed-entity-recognition	CodeCode Available	1
A BERT based Sentiment Analysis and Key Entity Detection Approach for Online Financial Texts	Jan 14, 2020	Ensemble LearningMachine Reading Comprehension	—Unverified	0
Humpty Dumpty: Controlling Word Meanings via Corpus Poisoning	Jan 14, 2020	Data PoisoningInformation Retrieval	—Unverified	0
CLUENER2020: Fine-grained Named Entity Recognition Dataset and Benchmark for Chinese	Jan 13, 2020	Chinese Named Entity Recognitionnamed-entity-recognition	CodeCode Available	2
Rethinking Generalization of Neural Models: A Named Entity Recognition Case Study	Jan 12, 2020	named-entity-recognitionNamed Entity Recognition	CodeCode Available	1
Domain-independent Extraction of Scientific Concepts from Research Articles	Jan 9, 2020	Active LearningArticles	CodeCode Available	0
LTP: A New Active Learning Strategy for CRF-Based Named Entity Recognition	Jan 8, 2020	Active Learningnamed-entity-recognition	CodeCode Available	1
Computationally Efficient NER Taggers with Combined Embeddings and Constrained Decoding	Jan 5, 2020	named-entity-recognitionNamed Entity Recognition	CodeCode Available	1
End-to-end Named Entity Recognition and Relation Extraction using Pre-trained Language Models	Dec 20, 2019	Language ModelingLanguage Modelling	CodeCode Available	0
A Neural Model for Text Localization, Transcription and Named Entity Recognition in Full Pages	Dec 20, 2019	named-entity-recognitionNamed Entity Recognition	CodeCode Available	0
BERTje: A Dutch BERT Model	Dec 19, 2019	Language ModelingLanguage Modelling	CodeCode Available	1
Annotating and normalizing biomedical NEs with limited knowledge	Dec 19, 2019	named-entity-recognitionNamed Entity Recognition	—Unverified	0
MedCAT -- Medical Concept Annotation Tool	Dec 18, 2019	Active LearningEntity Extraction using GAN	—Unverified	0
Chinese Named Entity Recognition Augmented with Lexicon Memory	Dec 17, 2019	Chinese Named Entity Recognitionnamed-entity-recognition	CodeCode Available	0
Cross-Lingual Ability of Multilingual BERT: An Empirical Study	Dec 17, 2019	named-entity-recognitionNamed Entity Recognition	—Unverified	0
A Comparison of Architectures and Pretraining Methods for Contextualized Multilingual Word Embeddings	Dec 15, 2019	Multilingual Word Embeddingsnamed-entity-recognition	—Unverified	0
Robust Named Entity Recognition with Truecasing Pretraining	Dec 15, 2019	named-entity-recognitionNamed Entity Recognition	—Unverified	0
Multilingual is not enough: BERT for Finnish	Dec 15, 2019	Dependency Parsingnamed-entity-recognition	CodeCode Available	0
Extracting clinical concepts from user queries	Dec 12, 2019	Clinical Concept Extractionnamed-entity-recognition	—Unverified	0
Integrating Deep Learning with Logic Fusion for Information Extraction	Dec 6, 2019	Deep LearningFeature Engineering	—Unverified	0
Design and implementation of an open source Greek POS Tagger and Entity Recognizer using spaCy	Dec 5, 2019	named-entity-recognitionNamed Entity Recognition	—Unverified	0
HAMNER: Headword Amplified Multi-span Distantly Supervised Method for Domain Specific Named Entity Recognition	Dec 3, 2019	Boundary Detectionnamed-entity-recognition	—Unverified	0
Fast Intent Classification for Spoken Language Understanding	Dec 3, 2019	ClassificationDecision Making	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	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