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 951–1000 of 2874 papers

TitleStatusHype
A Simple and Efficient Probabilistic Language model for Code-Mixed Text—0
AlpacaTag: An Active Learning-based Crowd Annotation Framework for Sequence Tagging—0
The Impact of Data Corruption on Named Entity Recognition for Low-resourced Languages—0
Efficient Benchmarking of NLP APIs using Multi-armed Bandits—0
Combining Visual and Textual Features for Information Extraction from Online Flyers—0
Combining Open Source Annotators for Entity Linking through Weighted Voting—0
Bilingual Word Embeddings for Phrase-Based Machine Translation—0
Efficient Higher-Order CRFs for Morphological Tagging—0
BioALBERT: A Simple and Effective Pre-trained Language Model for Biomedical Named Entity Recognition—0
Efficient Named Entity Annotation through Pre-empting—0
NILE: Fast Natural Language Processing for Electronic Health Records—0
Combining neural and knowledge-based approaches to Named Entity Recognition in Polish—0
Combining Minimally-supervised Methods for Arabic Named Entity Recognition—0
EiCi: A New Method of Dynamic Embedding Incorporating Contextual Information in Chinese NER—0
EL4NER: Ensemble Learning for Named Entity Recognition via Multiple Small-Parameter Large Language Models—0
EL92: Entity Linking Combining Open Source Annotators via Weighted Voting—0
A Local Detection Approach for Named Entity Recognition and Mention Detection—0
Evaluating the Impact of Phrase Recognition on Concept Tagging—0
BIOfid Dataset: Publishing a German Gold Standard for Named Entity Recognition in Historical Biodiversity Literature—0
Elucidating Conceptual Properties from Word Embeddings—0
E-magyar -- A Digital Language Processing System—0
Embedding Methods for Fine Grained Entity Type Classification—0
Evaluation of Domain-specific Word Embeddings using Knowledge Resources—0
Embeddings for Named Entity Recognition in Geoscience Portuguese Literature—0
Combining, Adapting and Reusing Bi-texts between Related Languages: Application to Statistical Machine Translation (invited talk)—0
An Experimental Investigation of Part-Of-Speech Taggers for Vietnamese—0
Embed More Ignore Less (EMIL): Exploiting Enriched Representations for Arabic NLP—0
EMBRE: Entity-aware Masking for Biomedical Relation Extraction—0
Collective Robustness Certificates: Exploiting Interdependence in Graph Neural Networks—0
Collective Robustness Certificates—0
Empirical Study of Named Entity Recognition Performance Using Distribution-aware Word Embedding—0
A Sequence Tagging based Framework for Few-Shot Relation Extraction—0
Evaluating Pretrained Transformer-based Models on the Task of Fine-Grained Named Entity Recognition—0
Employing Word Representations and Regularization for Domain Adaptation of Relation Extraction—0
Biomedical entity extraction using machine-learning based approaches—0
Collaboratively Annotating Multilingual Parallel Corpora in the Biomedical Domain---some MANTRAs—0
A Semi-supervised Learning Approach to Arabic Named Entity Recognition—0
Evaluating Ensemble Based Pre-annotation on Named Entity Corpus Construction in English and Chinese—0
Joint Entity Extraction and Assertion Detection for Clinical Text—0
End-to-end model for named entity recognition from speech without paired training data—0
End-to-End Models for Chemical-Protein Interaction Extraction: Better Tokenization and Span-Based Pipeline Strategies—0
End-to-end named entity extraction from speech—0
A Semi-Supervised BERT Approach for Arabic Named Entity Recognition—0
A Dataset for ICD-10 Coding of Death Certificates: Creation and Usage—0
Biomedical Named Entity Recognition using Conditional Random Fields and Rich Feature Sets—0
Active Learning with Tabular Language Models—0
An HMM Based Named Entity Recognition System for Indian Languages: The JU System at ICON 2013—0
Gaussian Prior Reinforcement Learning for Nested Named Entity Recognition—0
Evaluating Large-scale Text Mining Applications Beyond the Traditional Numeric Performance Measures—0
Evaluating the carbon footprint of NLP methods: a survey and analysis of existing tools—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