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 2176–2200 of 2874 papers

Title	Date	Tasks	Status
Unified Neural Architecture for Drug, Disease and Clinical Entity Recognition	Aug 11, 2017	Feature Engineeringnamed-entity-recognition	—Unverified
KeyXtract Twitter Model - An Essential Keywords Extraction Model for Twitter Designed using NLP Tools	Aug 9, 2017	Lemmatizationmodel	—Unverified
Learning how to Active Learn: A Deep Reinforcement Learning Approach	Aug 8, 2017	Active LearningDeep Reinforcement Learning	CodeCode Available
LitStoryTeller: An Interactive System for Visual Exploration of Scientific Papers Leveraging Named entities and Comparative Sentences	Aug 7, 2017	named-entity-recognitionNamed Entity Recognition	—Unverified
A Syllable-based Technique for Word Embeddings of Korean Words	Aug 5, 2017	Machine Translationnamed-entity-recognition	—Unverified
Low-Rank Hidden State Embeddings for Viterbi Sequence Labeling	Aug 2, 2017	named-entity-recognitionNamed Entity Recognition	—Unverified
LABDA at SemEval-2017 Task 10: Extracting Keyphrases from Scientific Publications by combining the BANNER tool and the UMLS Semantic Network	Aug 1, 2017	ArticlesGeneral Classification	—Unverified
Detecting mentions of pain and acute confusion in Finnish clinical text	Aug 1, 2017	General ClassificationInformation Retrieval	—Unverified
Automatic classification of doctor-patient questions for a virtual patient record query task	Aug 1, 2017	BIG-bench Machine LearningDialogue Management	—Unverified
TrentoTeam at SemEval-2017 Task 3: An application of Grice Maxims in Ranking Community Question Answers	Aug 1, 2017	BIG-bench Machine LearningNamed Entity Recognition (NER)	—Unverified
End-to-End System for Bacteria Habitat Extraction	Aug 1, 2017	Named Entity Recognition (NER)Relation	CodeCode Available
NTNU-1@ScienceIE at SemEval-2017 Task 10: Identifying and Labelling Keyphrases with Conditional Random Fields	Aug 1, 2017	Dependency ParsingNamed Entity Recognition (NER)	—Unverified
Proactive Learning for Named Entity Recognition	Aug 1, 2017	Active Learningnamed-entity-recognition	—Unverified
Event Detection and Semantic Storytelling: Generating a Travelogue from a large Collection of Personal Letters	Aug 1, 2017	Entity LinkingEvent Detection	—Unverified
MayoNLP at SemEval 2017 Task 10: Word Embedding Distance Pattern for Keyphrase Classification in Scientific Publications	Aug 1, 2017	ClassificationGeneral Classification	—Unverified
Deep Learning Models For Multiword Expression Identification	Aug 1, 2017	Deep LearningInformation Retrieval	—Unverified
SZTE-NLP at SemEval-2017 Task 10: A High Precision Sequence Model for Keyphrase Extraction Utilizing Sparse Coding for Feature Generation	Aug 1, 2017	ClusteringKeyphrase Extraction	—Unverified
Using Convolutional Neural Networks to Classify Hate-Speech	Aug 1, 2017	General ClassificationNamed Entity Recognition (NER)	—Unverified
A Continuous Relaxation of Beam Search for End-to-end Training of Neural Sequence Models	Aug 1, 2017	CCG SupertaggingMotion Segmentation	—Unverified
Painless Relation Extraction with Kindred	Aug 1, 2017	Named Entity Recognition (NER)Relation	—Unverified
MoRS at SemEval-2017 Task 3: Easy to use SVM in Ranking Tasks	Aug 1, 2017	Community Question AnsweringInformation Retrieval	—Unverified
Reporting Score Distributions Makes a Difference: Performance Study of LSTM-networks for Sequence Tagging	Jul 31, 2017	Named Entity Recognition (NER)	CodeCode Available
Joint Named Entity Recognition and Stance Detection in Tweets	Jul 30, 2017	named-entity-recognitionNamed Entity Recognition	—Unverified
CAp 2017 challenge: Twitter Named Entity Recognition	Jul 24, 2017	named-entity-recognitionNamed Entity Recognition	—Unverified
Neural Reranking for Named Entity Recognition	Jul 17, 2017	named-entity-recognitionNamed Entity Recognition	CodeCode Available

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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