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 501–550 of 2874 papers

TitleStatusHype
An Empirical Study of UMLS Concept Extraction from Clinical Notes using Boolean Combination Ensembles—0
Biomolecular Event Extraction using a Stacked Generalization based Classifier—0
A General-Purpose Annotation Model for Knowledge Discovery: Case Study in Spanish Clinical Text—0
AdaK-NER: An Adaptive Top-K Approach for Named Entity Recognition with Incomplete Annotations—0
Code-Switched Named Entity Recognition with Embedding Attention—0
Benben: A Chinese Intelligent Conversational Robot—0
An Empirical Study of Representation, Training and Decoding for Span-based Named Entity Recognition—0
BiTeM at WNUT 2020 Shared Task-1: Named Entity Recognition over Wet Lab Protocols using an Ensemble of Contextual Language Models—0
Bitext Name Tagging for Cross-lingual Entity Annotation Projection—0
BLAR: Biomedical Local Acronym Resolver—0
A Cost Sensitive Part-of-Speech Tagging: Differentiating Serious Errors from Minor Errors—0
Codeswitching language identification using Subword Information Enriched Word Vectors—0
Bayesian Modeling of Lexical Resources for Low-Resource Settings—0
An Empirical Study of Discriminative Sequence Labeling Models for Vietnamese Text Processing—0
An Empirical Study of Automatic Chinese Word Segmentation for Spoken Language Understanding and Named Entity Recognition—0
Batch IS NOT Heavy: Learning Word Representations From All Samples—0
A Corpus Study and Annotation Schema for Named Entity Recognition and Relation Extraction of Business Products—0
Coarse-to-fine Knowledge Graph Domain Adaptation based on Distantly-supervised Iterative Training—0
CMNEROne at SemEval-2022 Task 11: Code-Mixed Named Entity Recognition by leveraging multilingual data—0
Adversarial Structured Prediction for Multivariate Measures—0
CNNBiF: CNN-based Bigram Features for Named Entity Recognition—0
An Emergency Medical Services Clinical Audit System driven by Named Entity Recognition from Deep Learning—0
Bangla Natural Language Processing: A Comprehensive Analysis of Classical, Machine Learning, and Deep Learning Based Methods—0
Academic Case Reports Lack Diversity: Assessing the Presence and Diversity of Sociodemographic and Behavioral Factors related to Post COVID-19 Condition—0
Biomedical Named Entity Recognition via Reference-Set Augmented Bootstrapping—0
Bacteria Biotope Detection, Ontology-based Normalization, and Relation Extraction using Syntactic Rules—0
An Element-wise Visual-enhanced BiLSTM-CRF Model for Location Name Recognition—0
A Corpus of Tables in Full-Text Biomedical Research Publications—0
Clustering-based Automatic Construction of Legal Entity Knowledge Base from Contracts—0
Converse Attention Knowledge Transfer for Low-Resource Named Entity Recognition—0
BabyBear: Cheap inference triage for expensive language models—0
A Zero-shot and Few-shot Study of Instruction-Finetuned Large Language Models Applied to Clinical and Biomedical Tasks—0
A Warm Start and a Clean Crawled Corpus - A Recipe for Good Language Models—0
An Effective, Performant Named Entity Recognition System for Noisy Business Telephone Conversation Transcripts—0
Adversarial Learning with Contextual Embeddings for Zero-resource Cross-lingual Classification and NER—0
Clustering Prominent People and Organizations in Topic-Specific Text Corpora—0
A Warm Start and a Clean Crawled Corpus -- A Recipe for Good Language Models—0
A visual search engine for Bangladeshi laws—0
ANEC: An Amharic Named Entity Corpus and Transformer Based Recognizer—0
Auxiliary Sequence Labeling Tasks for Disfluency Detection—0
Auxiliary Learning for Named Entity Recognition with Multiple Auxiliary Biomedical Training Data—0
An Easy-to-use and Robust Approach for the Differentially Private De-Identification of Clinical Textual Documents—0
Adversarial Learning for Chinese NER from Crowd Annotations—0
AutoTriggER: Named Entity Recognition with Auxiliary Trigger Extraction—0
AutoTriggER: Label-Efficient and Robust Named Entity Recognition with Auxiliary Trigger Extraction—0
Automatic Textual Evidence Mining in COVID-19 Literature—0
Adversarial Evaluation of BERT for Biomedical Named Entity Recognition—0
A Beam-Search Decoder for Normalization of Social Media Text with Application to Machine Translation—0
Cloze-driven Pretraining of Self-attention Networks—0
CMB AI Lab at SemEval-2022 Task 11: A Two-Stage Approach for Complex Named Entity Recognition via Span Boundary Detection and Span Classification—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