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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 951–1000 of 2874 papers

TitleStatusHype
Bit Cipher -- A Simple yet Powerful Word Representation System that Integrates Efficiently with Language Models—0
An Intelligent Recommendation-cum-Reminder System—0
An Intellectual Property Entity Recognition Method Based on Transformer and Technological Word Information—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
Biomolecular Event Extraction using a Stacked Generalization based Classifier—0
BioMNER: A Dataset for Biomedical Method Entity Recognition—0
BioMegatron: Larger Biomedical Domain Language Model—0
Biomedical NER using Novel Schema and Distant Supervision—0
An In-depth Analysis of the Effect of Text Normalization in Social Media—0
Biomedical Named Entity Recognition using Conditional Random Fields and Rich Feature Sets—0
An HMM Based Named Entity Recognition System for Indian Languages: The JU System at ICON 2013—0
End-to-End Models for Chemical-Protein Interaction Extraction: Better Tokenization and Span-Based Pipeline Strategies—0
An Eye-tracking Study of Named Entity Annotation—0
A Gazetteer and Georeferencing for Historical English Documents—0
Active Learning with Tabular Language Models—0
Accommodations in Tuscany as Linked Data—0
Joint Entity Extraction and Assertion Detection for Clinical Text—0
Biomedical Information Extraction for Disease Gene Prioritization—0
An Extensive Empirical Evaluation of Character-Based Morphological Tagging for 14 Languages—0
Biomedical entity extraction using machine-learning based approaches—0
Employing Wikipedia as a resource for Named Entity Recognition in Morphologically complex under-resourced languages—0
Biomedical Document Retrieval for Clinical Decision Support System—0
An Experiment in Integrating Sentiment Features for Tech Stock Prediction in Twitter—0
Empirical Study of Named Entity Recognition Performance Using Distribution-aware Word Embedding—0
Biomedical and Clinical Language Models for Spanish: On the Benefits of Domain-Specific Pretraining in a Mid-Resource Scenario—0
An Experimental Study on Data Augmentation Techniques for Named Entity Recognition on Low-Resource Domains—0
EMBRE: Entity-aware Masking for Biomedical Relation Extraction—0
Embed More Ignore Less (EMIL): Exploiting Enriched Representations for Arabic NLP—0
BioinformaticsUA: Concept Recognition in Clinical Narratives Using a Modular and Highly Efficient Text Processing Framework—0
Biographical: A Semi-Supervised Relation Extraction Dataset—0
An Experimental Investigation of Part-Of-Speech Taggers for Vietnamese—0
A French Corpus and Annotation Schema for Named Entity Recognition and Relation Extraction of Financial News—0
Employing Word Representations and Regularization for Domain Adaptation of Relation Extraction—0
Active Learning for Probabilistic Hypotheses Using the Maximum Gibbs Error Criterion—0
Embeddings for Named Entity Recognition in Geoscience Portuguese Literature—0
Embedding Methods for Fine Grained Entity Type Classification—0
E-magyar -- A Digital Language Processing System—0
An Experimental Comparison of Active Learning Strategies for Partially Labeled Sequences—0
End-to-end model for named entity recognition from speech without paired training data—0
Elucidating Conceptual Properties from Word Embeddings—0
End-to-end named entity extraction from speech—0
BIOfid Dataset: Publishing a German Gold Standard for Named Entity Recognition in Historical Biodiversity Literature—0
BioDCA Identifier: A System for Automatic Identification of Discourse Connective and Arguments from Biomedical Text—0
An Exercise in Reuse of Resources: Adapting General Discourse Coreference Resolution for Detecting Lexical Chains in Patent Documentation—0
A Framework for Procedural Text Understanding—0
EL92: Entity Linking Combining Open Source Annotators via Weighted Voting—0
EL4NER: Ensemble Learning for Named Entity Recognition via Multiple Small-Parameter Large Language Models—0
EiCi: A New Method of Dynamic Embedding Incorporating Contextual Information in Chinese NER—0
EHRKit: A Python Natural Language Processing Toolkit for Electronic Health Record Texts—0
Show:102550
← PrevPage 20 of 58Next →
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