NLP4Health Lab Amsterdam

Dept. of Medical Informatics, AUMC, University of Amsterdam. Meibergdreef 9, 1105 AZ, Amsterdam.

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Welcome to the website of the NLP4Health Lab Amsterdam led by dr. Iacer Calixto! We are part of the Methods in Medical Informatics research line in the Department of Medical Informatics, Amsterdam UMC, in the University of Amsterdam. We conduct cutting-edge research on human-centric and responsible Natural Language Processing (NLP) and Machine Learning (ML) methods for healthcare and other high-stakes applications.

news

Oct 01, 2024 Heloísa Oss Boll and Xinlan Yan officially start working in the CaRe-NLP project. Heloísa focuses on devising LLMs for clinical tasks and Xinlan on synthetic data generation with privacy-preserving methods. Both PhD candidates are co-supervised with prof. Ameen Abu-Hanna.
Jan 01, 2024 We are hiring! We are currently looking for 2 PhD students to work on the NWO-funded CaRe-NLP project.
Sep 01, 2023 The CaRe-NLP project was awarded funding by NWO (with co-funding from the Amsterdam UMC and the Department of Medical Informatics). We will hire 3 more PhD students and 1 post-doctoral researcher over the next years. Stay tuned!
Dec 01, 2022 Nishant Mishra officially starts in the project ‘Responsible and explainable ML and NLP for healthcare’, co-supervised with prof. Ameen Abu-Hanna.
Nov 01, 2022 Dr. Calixto receives tenure at the Amsterdam UMC, University of Amsterdam.

selected publications

  1. LLM-aided_Tab3.png
    LLM aided semi-supervision for efficient Extractive Dialog Summarization
    Nishant Mishra ,  Gaurav Sahu ,  Iacer Calixto ,  Ameen Abu-Hanna ,  and  Issam Laradji
    In Findings of the Association for Computational Linguistics: EMNLP 2023 , Dec 2023
  2. dormosh-etal-fig1.png
    Topic evolution before fall incidents in new fallers through natural language processing of general practitioners’ clinical notes
    Noman Dormosh ,  Ameen Abu-Hanna ,  Iacer Calixto ,  Martijn C Schut ,  Martijn W Heymans ,  and  Nathalie Velde
    Age and Ageing, Feb 2024
  3. ViLMA-Figure1.png
    ViLMA: A Zero-Shot Benchmark for Linguistic and Temporal Grounding in Video-Language Models
    Ilker Kesen ,  Andrea Pedrotti ,  Mustafa Dogan ,  Michele Cafagna ,  Emre Can Acikgoz ,  Letitia Parcalabescu ,  Iacer Calixto ,  Anette Frank , and 3 more authors
    In The Twelfth International Conference on Learning Representations , Feb 2024
  4. NNLG_Figure1.png
    Neural Natural Language Generation: A Survey on Multilinguality, Multimodality, Controllability and Learning
    Erkut Erdem ,  Menekse Kuyu ,  Semih Yagcioglu ,  Anette Frank ,  Letitia Parcalabescu ,  Barbara Plank ,  Andrii Babii ,  Oleksii Turuta , and 10 more authors
    J. Artif. Int. Res., May 2022
  5. NLP-for-mental-health_Fig1.png
    Natural language processing for mental disorders: an overview
    Iacer Calixto ,  Viktoriya Yaneva ,  and  Raphael Cardoso
    In Natural Language Processing in Healthcare: A Special Focus on Low Resource Languages , May 2022
  6. VidLM_Table1.png
    Video-and-Language (VidL) models and their cognitive relevance
    Anne Zonneveld ,  Albert Gatt ,  and  Iacer Calixto
    In Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops , Oct 2023
  7. Drug-related_visual-summary.jpg
    Drug-related causes attributed to acute kidney injury and their documentation in intensive care patients
    Rachel M. Murphy ,  Dave A. Dongelmans ,  Izak Yasrebi-de Kom ,  Iacer Calixto ,  Ameen Abu-Hanna ,  Kitty J. Jager ,  Nicolette F. de Keizer ,  and  Joanna E. Klopotowska
    Journal of Critical Care, Oct 2023
  8. Soft-prompt-tuning_Fig1.png
    Soft-Prompt Tuning to Predict Lung Cancer Using Primary Care Free-Text Dutch Medical Notes
    Auke Elfrink ,  Iacopo Vagliano ,  Ameen Abu-Hanna ,  and  Iacer Calixto
    In Artificial Intelligence in Medicine , Oct 2023