mlsanityData to 7 Oct 2026

An Effective Transition-based Model for Discontinuous NER

arXiv 2004.13454 ↗First posted 28 Apr 2020cs.CLcited by 33

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Abstract (arXiv)

Unlike widely used Named Entity Recognition (NER) data sets in generic domains, biomedical NER data sets often contain mentions consisting of discontinuous spans. Conventional sequence tagging techniques encode Markov assumptions that are efficient but preclude recovery of these mentions. We propose a simple, effective transition-based model with generic neural encoding for discontinuous NER. Through extensive experiments on three biomedical data sets, we show that our model can effectively recognize discontinuous mentions without sacrificing the accuracy on continuous mentions.

Key facts. Cited by 33 papers in the map (data through 7 Oct 2026). First posted on arXiv 28 Apr 2020.

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Citing papers per year: 2021: 8; 2022: 3; 2023: 11; 2024: 7; 2025: 4.

33 papers.

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  1. 2021A Unified Generative Framework for Various NER Subtaskscited by 141
  2. 2021Unified Named Entity Recognition as Word-Word Relation Classificationcited by 89
  3. 2021DOC2PPT: Automatic Presentation Slides Generation from Scientific Documentscited by 68
  4. 2021Paradigm Shift in Natural Language Processingcited by 39
  5. 2021A Span-Based Model for Joint Overlapped and Discontinuous Named Entity Recognitioncited by 33
  6. 2022InstructionNER: A Multi-Task Instruction-Based Generative Framework for Few-shot NERcited by 31
  7. 2023Reading Order Matters: Information Extraction from Visually-rich Documents by Token Path Predictioncited by 23
  8. 2021Discontinuous Named Entity Recognition as Maximal Clique Discoverycited by 17
  9. 2023Transformers in Healthcare: A Surveycited by 17
  10. 2021Exploring a Unified Sequence-To-Sequence Transformer for Medical Product Safety Monitoring in Social Mediacited by 9
  11. 2022TOE: A Grid-Tagging Discontinuous NER Model Enhanced by Embedding Tag/Word Relations and More Fine-Grained Tagscited by 8
  12. 2023A Survey on Arabic Named Entity Recognition: Past, Recent Advances, and Future Trendscited by 8
21 more
  1. 2024ToNER: Type-oriented Named Entity Recognition with Generative Language Modelcited by 8
  2. 2021Improving Adverse Drug Event Extraction with SpanBERT on Different Text Typologiescited by 7
  3. 2023CARE: Extracting Experimental Findings From Clinical Literaturecited by 5
  4. 2024P-ICL: Point In-Context Learning for Named Entity Recognition with Large Language Modelscited by 5
  5. 2023Multi-task Transformer with Relation-attention and Type-attention for Named Entity Recognitioncited by 4
  6. 2023Extensive Evaluation of Transformer-based Architectures for Adverse Drug Events Extractioncited by 4
  7. 2024A fast and sound tagging method for discontinuous named-entity recognitioncited by 4
  8. 2022To Answer or Not to Answer? Improving Machine Reading Comprehension Model with Span-based Contrastive Learningcited by 2
  9. 2025Adverse Event Extraction from Discharge Summaries: A New Dataset, Annotation Scheme, and Initial Findingscited by 2
  10. 2023Complex Mathematical Symbol Definition Structures: A Dataset and Model for Coordination Resolution in Definition Extractioncited by 1
  11. 2023CoRec: An Easy Approach for Coordination Recognitioncited by 1
  12. 2024MultiADE: A Multi-domain Benchmark for Adverse Drug Event Extractioncited by 1
  13. 2023CED: Catalog Extraction from Documentscited by 0
  14. 2023MC-DRE: Multi-Aspect Cross Integration for Drug Event/Entity Extractioncited by 0
  15. 2023S2F-NER: Exploring Sequence-to-Forest Generation for Complex Entity Recognitioncited by 0
  16. 2024A Dataset for Pharmacovigilance in German, French, and Japanese: Annotating Adverse Drug Reactions across Languagescited by 0
  17. 2024TriG-NER: Triplet-Grid Framework for Discontinuous Named Entity Recognitioncited by 0
  18. 2024On Fusing ChatGPT and Ensemble Learning in Discon-tinuous Named Entity Recognition in Health Corporacited by 0
  19. 2025KU AIGEN ICL EDI@BC8 Track 3: Advancing Phenotype Named Entity Recognition and Normalization for Dysmorphology Physical Examination Reportscited by 0
  20. 2025GapDNER: A Gap-Aware Grid Tagging Model for Discontinuous Named Entity Recognitioncited by 0
  21. 2025SEDA: A Self-Adapted Entity-Centric Data Augmentation for Boosting Gird-based Discontinuous NER Modelscited by 0