mlsanityData to 7 Oct 2026

ScispaCy: Fast and Robust Models for Biomedical Natural Language Processing

arXiv 1902.07669 ↗First posted 20 Feb 2019cs.CLcited by 244

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Abstract (arXiv)

Despite recent advances in natural language processing, many statistical models for processing text perform extremely poorly under domain shift. Processing biomedical and clinical text is a critically important application area of natural language processing, for which there are few robust, practical, publicly available models. This paper describes scispaCy, a new tool for practical biomedical/scientific text processing, which heavily leverages the spaCy library. We detail the performance of two packages of models released in scispaCy and demonstrate their robustness on several tasks and datasets. Models and code are available at https://allenai.github.io/scispacy/

Key facts. Cited by 244 papers in the map (data through 7 Oct 2026). First posted on arXiv 20 Feb 2019.

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Citing papers per year: 2021: 43; 2022: 35; 2023: 51; 2024: 41; 2025: 40; 2026: 34.

244 papers.

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  1. 2022Large Language Models are Few-Shot Clinical Information Extractorscited by 206
  2. 2023Quilt-1M: One Million Image-Text Pairs for Histopathologycited by 192
  3. 2023SciMON: Scientific Inspiration Machines Optimized for Noveltycited by 174
  4. 2023Knowledge-enhanced Visual-Language Pre-training on Chest Radiology Imagescited by 128
  5. 2021The Expando-Mono-Duo Design Pattern for Text Ranking with Pretrained Sequence-to-Sequence Modelscited by 81
  6. 2024MEDEC: A Benchmark for Medical Error Detection and Correction in Clinical Notescited by 77
  7. 2022Generating Scientific Claims for Zero-Shot Scientific Fact Checkingcited by 59
  8. 2021Fine-Tuning Large Neural Language Models for Biomedical Natural Language Processingcited by 57
  9. 2022Making Science Simple: Corpora for the Lay Summarisation of Scientific Literaturecited by 54
  10. 2022Align, Reason and Learn: Enhancing Medical Vision-and-Language Pre-training with Knowledgecited by 51
  11. 2024Automated Radiology Report Generation: A Review of Recent Advancescited by 43
  12. 2023Expert Knowledge-Aware Image Difference Graph Representation Learning for Difference-Aware Medical Visual Question Answeringcited by 41
38 more
  1. 2021Launching into clinical space with medspaCy: a new clinical text processing toolkit in Pythoncited by 40
  2. 2023ChatGPT for Shaping the Future of Dentistry: The Potential of Multi-Modal Large Language Modelcited by 40
  3. 2023CLIP in Medical Imaging: A Surveycited by 40
  4. 2022Deep Multi-modal Fusion of Image and Non-image Data in Disease Diagnosis and Prognosis: A Reviewcited by 37
  5. 2021Improving Biomedical Pretrained Language Models with Knowledgecited by 36
  6. 2021Neural Natural Language Processing for Unstructured Data in Electronic Health Records: a Reviewcited by 35
  7. 2022Generative Biomedical Entity Linking via Knowledge Base-Guided Pre-training and Synonyms-Aware Fine-tuningcited by 34
  8. 2021Knowledge-Rich Self-Supervision for Biomedical Entity Linkingcited by 31
  9. 2021MultiCite: Modeling realistic citations requires moving beyond the single-sentence single-label settingcited by 30
  10. 2022CoVERT: A Corpus of Fact-checked Biomedical COVID-19 Tweetscited by 29
  11. 2024CHIME: LLM-Assisted Hierarchical Organization of Scientific Studies for Literature Review Supportcited by 28
  12. 2023Scaling Clinical Trial Matching Using Large Language Models: A Case Study in Oncologycited by 24
  13. 20253D-RAD: A Comprehensive 3D Radiology Med-VQA Dataset with Multi-Temporal Analysis and Diverse Diagnostic Taskscited by 24
  14. 2022Paper Plain: Making Medical Research Papers Approachable to Healthcare Consumers with Natural Language Processingcited by 23
  15. 2024Ask Optimal Questions: Aligning Large Language Models with Retriever's Preference in Conversationcited by 23
  16. 2021Boosting Low-Resource Biomedical QA via Entity-Aware Masking Strategiescited by 21
  17. 2022Improving the Faithfulness of Abstractive Summarization via Entity Coverage Controlcited by 21
  18. 2022Retrieval augmentation of large language models for lay language generationcited by 21
  19. 2024Improving Scientific Hypothesis Generation with Knowledge Grounded Large Language Modelscited by 21
  20. 2021OAG-BERT: Towards A Unified Backbone Language Model For Academic Knowledge Servicescited by 20
  21. 2021Literature-Augmented Clinical Outcome Predictioncited by 20
  22. 2022Symptom Identification for Interpretable Detection of Multiple Mental Disorderscited by 20
  23. 2023ECG-Image-Kit: A Synthetic Image Generation Toolbox to Facilitate Deep Learning-Based Electrocardiogram Digitizationcited by 20
  24. 2024Graph-Based Retriever Captures the Long Tail of Biomedical Knowledgecited by 20
  25. 2021Towards Clinical Encounter Summarization: Learning to Compose Discharge Summaries from Prior Notescited by 18
  26. 2021CiteWorth: Cite-Worthiness Detection for Improved Scientific Document Understandingcited by 17
  27. 2021MedNLI Is Not Immune: Natural Language Inference Artifacts in the Clinical Domaincited by 17
  28. 2021Spark NLP: Natural Language Understanding at Scalecited by 16
  29. 2021Fast and Effective Biomedical Entity Linking Using a Dual Encodercited by 16
  30. 2022Learning to Ask Like a Physiciancited by 16
  31. 2022BioNLI: Generating a Biomedical NLI Dataset Using Lexico-semantic Constraints for Adversarial Examplescited by 15
  32. 2021Discovering Drug-Target Interaction Knowledge from Biomedical Literaturecited by 14
  33. 2023A Systematic Review of Deep Learning-based Research on Radiology Report Generationcited by 14
  34. 2024Knowledge-enhanced Visual-Language Pretraining for Computational Pathologycited by 14
  35. 2021Overview of BioASQ 2020: The eighth BioASQ challenge on Large-Scale Biomedical Semantic Indexing and Question Answeringcited by 13
  36. 2021Bursting Scientific Filter Bubbles: Boosting Innovation via Novel Author Discoverycited by 13
  37. 2021Improving Joint Learning of Chest X-Ray and Radiology Report by Word Region Alignmentcited by 13
  38. 2024Does Biomedical Training Lead to Better Medical Performance?cited by 13

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