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 801–825 of 2874 papers

Title	Date	Tasks	Status	Score
AI- and HPC-enabled Lead Generation for SARS-CoV-2: Models and Processes to Extract Druglike Molecules Contained in Natural Language Text	Jan 12, 2021	named-entity-recognitionNamed Entity Recognition	CodeCode Available	5
Entry Separation using a Mixed Visual and Textual Language Model: Application to 19th century French Trade Directories	Feb 17, 2023	Language ModelingLanguage Modelling	CodeCode Available	5
CAN-NER: Convolutional Attention Network for Chinese Named Entity Recognition	Apr 3, 2019	Chinese Named Entity Recognitionnamed-entity-recognition	CodeCode Available	5
Enhancing Relation Extraction via Adversarial Multi-task Learning	Jun 1, 2022	Multi-Task Learningnamed-entity-recognition	CodeCode Available	5
NLATool: an Application for Enhanced Deep Text Understanding	Aug 1, 2018	Coreference ResolutionEntity Linking	CodeCode Available	5
CamemBERT: a Tasty French Language Model	Nov 10, 2019	Dependency ParsingLanguage Modeling	CodeCode Available	5
Entities, Dates, and Languages: Zero-Shot on Historical Texts with T0	Apr 11, 2022	Multilingual Named Entity Recognitionnamed-entity-recognition	CodeCode Available	5
Application of a Hybrid Bi-LSTM-CRF model to the task of Russian Named Entity Recognition	Sep 27, 2017	Named Entity Recognition (NER)Word Embeddings	CodeCode Available	5
Enhancing Pharmacovigilance with Drug Reviews and Social Media	Apr 18, 2020	named-entity-recognitionNamed Entity Recognition	CodeCode Available	5
Entity Projection via Machine Translation for Cross-Lingual NER	Aug 31, 2019	Cross-Lingual NERMachine Translation	CodeCode Available	5
Enhancing Label Consistency on Document-level Named Entity Recognition	Oct 24, 2022	named-entity-recognitionNamed Entity Recognition	CodeCode Available	5
Enhancing Language Models for Financial Relation Extraction with Named Entities and Part-of-Speech	May 2, 2024	Financial Relation Extractionnamed-entity-recognition	CodeCode Available	5
Adapting Multilingual LLMs to Low-Resource Languages with Knowledge Graphs via Adapters	Jul 1, 2024	Knowledge GraphsLanguage Modeling	CodeCode Available	5
On-the-Job Learning with Bayesian Decision Theory	Jun 10, 2015	General Classificationimage-classification	CodeCode Available	5
Enhancing deep neural networks with morphological information	Nov 24, 2020	Dependency Parsingnamed-entity-recognition	CodeCode Available	5
Entity Recognition at First Sight: Improving NER with Eye Movement Information	Feb 26, 2019	named-entity-recognitionNamed Entity Recognition	CodeCode Available	5
Evaluating the Utility of Hand-crafted Features in Sequence Labelling	Aug 28, 2018	named-entity-recognitionNamed Entity Recognition	CodeCode Available	5
E-NER -- An Annotated Named Entity Recognition Corpus of Legal Text	Dec 19, 2022	Named Entity RecognitionNamed Entity Recognition (NER)	CodeCode Available	5
End-to-End System for Bacteria Habitat Extraction	Aug 1, 2017	Named Entity Recognition (NER)Relation	CodeCode Available	5
PAI at SemEval-2022 Task 11: Name Entity Recognition with Contextualized Entity Representations and Robust Loss Functions	Jul 1, 2022	Binary Classificationnamed-entity-recognition	CodeCode Available	5
End-to-end Recurrent Neural Network Models for Vietnamese Named Entity Recognition: Word-level vs. Character-level	May 11, 2017	named-entity-recognitionNamed Entity Recognition	CodeCode Available	5
PAMPO: using pattern matching and pos-tagging for effective Named Entities recognition in Portuguese	Dec 30, 2016	Entity Extraction using GANnamed-entity-recognition	CodeCode Available	5
End-to-end Sequence Labeling via Bi-directional LSTM-CNNs-CRF	Mar 4, 2016	Feature EngineeringNamed Entity Recognition	CodeCode Available	5
Building timelines of soccer matches from Twitter	Sep 1, 2017	Named Entity Recognition (NER)	CodeCode Available	5
Building Named Entity Recognition Taggers via Parallel Corpora	May 1, 2018	Machine Translationnamed-entity-recognition	CodeCode Available	5

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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