SOTAVerified

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 801–850 of 2874 papers

TitleStatusHype
Decomposing Bilexical Dependencies into Semantic and Syntactic Vectors—0
Comprehend Medical: a Named Entity Recognition and Relationship Extraction Web Service—0
A Method to Generate a Machine-Labeled Data for Biomedical Named Entity Recognition with Various Sub-Domains—0
A Comparison of Architectures and Pretraining Methods for Contextualized Multilingual Word Embeddings—0
DeepCon: An End-to-End Multilingual Toolkit for Automatic Minuting of Multi-Party Dialogues—0
DS4DH at SemEval-2022 Task 11: Multilingual Named Entity Recognition Using an Ensemble of Transformer-based Language Models—0
Dynamic Gazetteer Integration in Multilingual Models for Cross-Lingual and Cross-Domain Named Entity Recognition—0
Comparing Open Arabic Named Entity Recognition Tools—0
Deep Exhaustive Model for Nested Named Entity Recognition—0
DeepGeneMD: A Joint Deep Learning Model for Extracting Gene Mutation-Disease Knowledge from PubMed Literature—0
DeepKE: A Deep Learning Based Knowledge Extraction Toolkit for Knowledge Base Population—0
Deep Learning Approaches for Extracting Adverse Events and Indications of Dietary Supplements from Clinical Text—0
Deep Learning Approach for Intelligent Named Entity Recognition of Cyber Security—0
Deep Learning Architecture for Patient Data De-identification in Clinical Records—0
Comparing Named-Entity Recognizers in a Targeted Domain: Handcrafted Rules vs Machine Learning—0
Deep Learning Models For Multiword Expression Identification—0
Deep learning models for representing out-of-vocabulary words—0
Deep Learning Transformer Architecture for Named Entity Recognition on Low Resourced Languages: State of the art results—0
Deep Learning with Minimal Training Data: TurkuNLP Entry in the BioNLP Shared Task 2016—0
Deep Multilingual Correlation for Improved Word Embeddings—0
Deep Neural Model for Manipuri Multiword Named Entity Recognition with Unsupervised Cluster Feature—0
Deep Neural Model Inspection and Comparison via Functional Neuron Pathways—0
A Simultaneous Recognition Framework for the Spoken Language Understanding Module of Intelligent Personal Assistant Software on Smart Phones—0
Deep neural networks for fine-grained surveillance of overdose mortality—0
DeepNNNER: Applying BLSTM-CNNs and Extended Lexicons to Named Entity Recognition in Tweets—0
DeepPavlov: Open-Source Library for Dialogue Systems—0
Comparing CNN and LSTM character-level embeddings in BiLSTM-CRF models for chemical and disease named entity recognition—0
A Simple Yet Strong Pipeline for HotpotQA—0
DeepTagger: Knowledge Enhanced Named Entity Recognition for Web-Based Ads Queries—0
DeepVar: An End-to-End Deep Learning Approach for Genomic Variant Recognition in Biomedical Literature—0
Deformable Stacked Structure for Named Entity Recognition—0
De-identification of Unstructured Clinical Texts from Sequence to Sequence Perspective—0
A Marker-based Neural Network System for Extracting Social Determinants of Health—0
Do Multi-Sense Embeddings Improve Natural Language Understanding?—0
A Machine Learning Approach for Phenotype Name Recognition—0
Delexicalized Paraphrase Generation—0
Delving Deep into Regularity: A Simple but Effective Method for Chinese Named Entity Recognition—0
DeNERT-KG: Named Entity and Relation Extraction Model Using DQN, Knowledge Graph, and BERT—0
Comparative Study of Zero-Shot Cross-Lingual Transfer for Bodo POS and NER Tagging Using Gemini 2.0 Flash Thinking Experimental Model—0
Dependency-Aware Named Entity Recognition with Relative and Global Attentions—0
Dependency Based Embeddings for Sentence Classification Tasks—0
Dependency parsing representation effects on the accuracy of semantic applications --- an example of an inflective language—0
Deploying a BERT-based Query-Title Relevance Classifier in a Production System: a View from the Trenches—0
Design and implementation of an open source Greek POS Tagger and Entity Recognizer using spaCy—0
Detecting annotation noise in automatically labelled data—0
Detecting Code-Switching in a Multilingual Alpine Heritage Corpus—0
2-Slave Dual Decomposition for Generalized Higher Order CRFs—0
Comparative Analysis of Portuguese Named Entities Recognition Tools—0
Detection of Multiword Expressions for Hindi Language using Word Embeddings and WordNet-based Features—0
Comparative Analysis of Named Entity Recognition in the Dungeons and Dragons Domain—0
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All datasetsCoNLL 2003 (English)Ontonotes v5 (English)NCBI DiseaseWNUT 2017ACE 2005JNLPBABC5CDRGENIABC2GMBC5CDR-chemicalSLUECoNLL++

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ACE + document-contextF194.6—Unverified
2LUKE 483MF194.3—Unverified
3Co-regularized LUKEF194.22—Unverified
4LUKE + SubRegWeigh (K-means)F194.2—Unverified
5ASP+T5-3BF194.1—Unverified
6FLERT XLM-RF194.09—Unverified
7PL-MarkerF194—Unverified
8CL-KLF193.85—Unverified
9XLNet-GCNF193.82—Unverified
10RoBERTa + SubRegWeigh (K-means)F193.81—Unverified
#ModelMetricClaimedVerifiedStatus
1BERT-MRC+DSCF192.07—Unverified
2PL-MarkerF191.9—Unverified
3Baseline + BSF191.74—Unverified
4Biaffine-NERF191.3—Unverified
5BERT-MRCF191.11—Unverified
6PIQNF190.96—Unverified
7HGNF190.92—Unverified
8Syn-LSTM + BERT (wo doc-context)F190.85—Unverified
9DiffusionNERF190.66—Unverified
10W2NERF190.5—Unverified
#ModelMetricClaimedVerifiedStatus
1BioBERTF189.71—Unverified
2SpanModel + SequenceLabelingModelF189.6—Unverified
3SciFive-BaseF189.39—Unverified
4Spark NLPF189.13—Unverified
5BLSTM-CNN-Char (SparkNLP)F189.13—Unverified
6KeBioLMF189.1—Unverified
7CL-KLF188.96—Unverified
8BioKMNER + BioBERTF188.77—Unverified
9BioLinkBERT (large)F188.76—Unverified
10CompactBioBERTF188.67—Unverified
#ModelMetricClaimedVerifiedStatus
1CL-KLF160.45—Unverified
2RoBERTa + SubRegWeigh (K-means)F160.29—Unverified
3BERT-CRF (Replicated in AdaSeq)F159.69—Unverified
4RoBERTa-BiLSTM-contextF159.61—Unverified
5BERT + RegLERF158.9—Unverified
6TNER -xlm-r-largeF158.5—Unverified
7HGNF157.41—Unverified
8ASA + RoBERTaF157.3—Unverified
9BERTweetF156.5—Unverified
10MINERF154.86—Unverified
#ModelMetricClaimedVerifiedStatus
1Ours: cross-sentence ALBF190.9—Unverified
2GoLLIEF189.6—Unverified
3PromptNER [RoBERTa-large]F188.26—Unverified
4PIQNF187.42—Unverified
5PromptNER [BERT-large]F187.21—Unverified
6DiffusionNERF186.93—Unverified
7BERT-MRCF186.88—Unverified
8UniNER-7BF186.69—Unverified
9Locate and LabelF186.67—Unverified
10BoningKnifeF185.46—Unverified
#ModelMetricClaimedVerifiedStatus
1KeBioLMF182—Unverified
2BLSTM-CNN-Char (SparkNLP)F181.29—Unverified
3Spark NLPF181.29—Unverified
4BINDERF180.3—Unverified
5BioMobileBERTF180.13—Unverified
6BioLinkBERT (large)F180.06—Unverified
7DistilBioBERTF179.97—Unverified
8CompactBioBERTF179.88—Unverified
9BioDistilBERTF179.1—Unverified
10PubMedBERT uncasedF179.1—Unverified
#ModelMetricClaimedVerifiedStatus
1BINDERF191.9—Unverified
2ConNERF191.3—Unverified
3CL-L2F190.99—Unverified
4aimpedF190.95—Unverified
5BertForTokenClassification (Spark NLP)F190.89—Unverified
6BioLinkBERT (large)F190.22—Unverified
7ELECTRAMedF190.03—Unverified
8BLSTM-CNN-Char (SparkNLP)F189.73—Unverified
9Spark NLPF189.73—Unverified
10UniNER-7BF189.34—Unverified