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 2451–2500 of 2874 papers

TitleStatusHype
CrowNER at Rocling 2022 Shared Task: NER using MacBERT and Adversarial Training—0
CSECU-DSG at SemEval-2022 Task 11: Identifying the Multilingual Complex Named Entity in Text Using Stacked Embeddings and Transformer based Approach—0
CU-NLP at SemEval-2016 Task 8: AMR Parsing using LSTM-based Recurrent Neural Networks—0
Curating Grounded Synthetic Data with Global Perspectives for Equitable AI—0
Curriculum d'apprentissage : reconnaissance d'entit\'es nomm\'ees pour l'extraction de concepts s\'emantiques (Curriculum learning : named entity recognition for semantic concept extraction)—0
Czech Historical Named Entity Corpus v 1.0—0
Czech Text Processing with Contextual Embeddings: POS Tagging, Lemmatization, Parsing and NER—0
DaCy: A Unified Framework for Danish NLP—0
DAGA: Data Augmentation with a Generation Approach for Low-resource Tagging Tasks—0
DAML: Chinese Named Entity Recognition with a fusion method of data-augmentation and meta-learning—0
DAMO-NLP at NLPCC-2022 Task 2: Knowledge Enhanced Robust NER for Speech Entity Linking—0
DAMO-NLP at SemEval-2023 Task 2: A Unified Retrieval-augmented System for Multilingual Named Entity Recognition—0
DaNE: A Named Entity Resource for Danish—0
DANGNT-SGU at SemEval-2022 Task 11: Using Pre-trained Language Model for Complex Named Entity Recognition—0
Data Adaptation for Named Entity Recognition on Tweets with Features-Rich CRF—0
Data Cleaning Tools for Token Classification Tasks—0
DataWords: Getting Contrarian with Text, Structured Data and Explanations—0
DATNet: Dual Adversarial Transfer for Low-resource Named Entity Recognition—0
De-Bias for Generative Extraction in Unified NER Task—0
Decoding with Finite-State Transducers on GPUs—0
Decomposing Bilexical Dependencies into Semantic and Syntactic Vectors—0
DeepCon: An End-to-End Multilingual Toolkit for Automatic Minuting of Multi-Party Dialogues—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
Deep Learning for NLP (without Magic)—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
Deep neural model with enhanced embeddings for pharmaceutical and chemical entities recognition in Spanish clinical text—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
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
De-identifying Australian Hospital Discharge Summaries: An End-to-End Framework using Ensemble of Deep Learning Models—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
Dependency-Aware Named Entity Recognition with Relative and Global Attentions—0
Dependency Based Embeddings for Sentence Classification Tasks—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
4BLSTM-CNN-Char (SparkNLP)F189.13—Unverified
5Spark NLPF189.13—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
8Spark NLPF189.73—Unverified
9BLSTM-CNN-Char (SparkNLP)F189.73—Unverified
10UniNER-7BF189.34—Unverified