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The 6th International Workshop on Health Natural Language Processing 
(HealthNLP 2023) 

ICHI 2023 workshop | 8:30 am - 12:00pm June 26th, 2023
Houston, Texas, USA
The Conference


In the past few decades, we have seen exponential growth in clinical narratives and biomedical articles. As a result, the natural language process (NLP) specialized in biomedicine, which can unlock information from text, receives great attention in the biomedical and clinical domains. Many NLP methods and systems have been developed and have shown promising results in various information extraction, information retrieval, and knowledge discovery tasks. These methods and tools have also been successfully applied to facilitate biomedicine research and support healthcare applications. At the same time, the availability and use of health information online have exploded through the use of social media, question-answering and community discussion forums, health-related websites, and biomedical articles. These present additional challenges and opportunities for further development of new methodologies and applications.

This workshop aims to provide a unique, interdisciplinary, and high-quality platform to bring together researchers and practitioners in healthcare informatics working with health-related free text, and facilitate close interaction among students, scholars, and industry professionals on health NLP challenges. 

Topics of interest

  • NLP methods: any original methodological research, including but not limited to the following areas: named entity recognition, relation extraction, syntactic parsing, word sense disambiguation, semantic role labeling, topic modeling, discourse analysis, question answering, summarization, simplification, and other topics related to health NLP.

  • NLP software tools: any general or specific NLP tools for health data such as clinical notes, social media, and biomedical literature.

  • NLP applications: uses of NLP for clinical research or operation, examples including pharmacovigilance, clinical decision support, phenotyping, predictive modeling, risk prediction, and social media mining.



08:30 AM - Opening marks 
08:35 AM - Leveraging Foundation Models for Clinical Text Analysis (Syed Raza Bashir)
08:47 AM - End-to-End Models for Chemical-Protein Interaction Extraction: Better Tokenization and Span-Based Pipeline Strategies (Xuguang Ai)
08:59 AM - Comma: A collaborative medical text annotation platform Hetong Ma
09:11 AM - Topic Modelling of Swedish Newspaper Articles about Coronavirus: a Case Study using Latent Dirichlet Allocation Method (Lifeng Han)
09:23 AM - Annotate Clinical Data Using Large Language Model Predictions (Simon Meoni)
09:35 AM Break 
09:45 AM - How Does Imperfect Automatic Indexing Affect Semantic Search Performance? (Mengtian Guo)
09:57 AM - CARED: Caregiver’s Experience with Cognitive Decline in Reddit Posts (Muskan Garg)
10:09 AM - The Scope of In-Context Learning for the Extraction of Medical Temporal Constraints (Parker Seegmiller)
10:21 AM - Deploying transformers for redaction of text from electronic health records in real world healthcare (Zeliko Kraljevic)
10:33 AM Break
11:00 AM - Identifying Gender Bias in Generative Models for Mental Health Synthetic Data (Daniel Cabrera)
11:12 AM - Benchmarking Transformer-Based Models for Identifying Social Determinants of Health in Clinical Notes (Xiaoyu Wang)
11:24 AM - Detection of Novel COVID-19 Variants with Zero-Shot Learning (Sayantani Basu)
11:36 AM - Named Entity Recognition and Normalization for Alzheimer's Disease Eligibility Criteria (Zenan Sun)
11:48 AM - Quantitative Measures of Online Health Information (QMOHI): Broadening the impact through improved usability, applicability, and effectiveness (Miho Shimizu)

Important Dates

  • Deadline for all submissions: Extended to March 15th, 2023

  • Notification of decisions:  March 29th, 2023

  • Deadline for camera-ready papers:  April 5th, 2023

  • Workshop date: June 26th, 2023

important dates

Call for Submissions


HealthNLP will accept both regular papers (4-8 pages, including references) and abstracts (2 pages, including references). Regular papers will describe mature ideas, where a substantial amount of implementation, experimentation, or data collection and analysis has been completed. Abstracts will describe innovative ideas, where preliminary implementation and validation work have been conducted.

Submissions will be handled electronically through EasyChair.  When submitting papers, the authors must select the "HealthNLP Workshop" track. Papers must adhere to the IEEE Proceedings Format and be submitted as a single PDF file. Before a submission is sent to the reviewers, the program chairs will perform an assessment to determine the best fit for the submission.

HealthNLP uses a single-blind two-layer peer reviewing process. The final decision will be made by the program chairs based on at least two reviews by program committee members. All accepted submissions will be presented at the workshop and published in the IEEE ICHI 2023 Proceedings (archived in IEEE Xplore Digital Library).



HealthNLP 2023 registration website is

For HealthNLP 2023 workshop only, please select "One-Day Registration).



  • Yifan Peng, Weill Cornell Medicine, US

  • Halil Kilicoglu, University of Illinois at Urbana-Champaign, US

Publication Chair

  • Qingyu Chen, National Library of Medicine, National Institutes of Health, US

Steering committee

  • Sophia Ananiadou, University of Manchester, UK

  • Wendy Chapman, University of Melbourne. AU

  • Dina Demner-Fushman, National Library of Medicine/National Institutes of Health, US

  • Hongfang Liu, Mayo Clinic, US

  • Zhiyong Lu, National Library of Medicine/National Institutes of Health, US

  • Buzhou Tang, Harbin Institute of Technology, CN

  • Özlem Uzuner, George Mason University, US

  • ​Karin Verspoor, RMIT University, AU

  • Hua Xu, University of Texas Health Science Center at Houston, US

Program Committee​

  • Aokun Chen, University of Florida, US

  • Carsten Eickhoff, Brown University, US

  • Yadan Fan, Nuance, US

  • Udo Hahn, Friedrich Schiller University Jena, Germany

  • Lynette Hirschman, MITRE, US

  • Qiao Jin, National Library of Medicine, National Institutes of Health, US

  • Yoshinobu Kano, Shizuoka University, Japan

  • Rohit Kate, University of Wisconsin-Milwaukee, US

  • Tian Kang, Tempus Labs, US

  • Dimitrios Kokkinakis, University of Gothenburg, Germany

  • Po-Ting Lai, National Library of Medicine, National Institutes of Health, US

  • Alberto Lavelli, Fondazione Bruno Kessler, Italy

  • Ling Luo, Dalian University of Technology, China

  • Cheng Peng, University of Florida, US

  • Stephen Shaffran, University of Pittsburgh, US             

  • Jianlin Shi, University of Utah, US

  • Sonish Sivarajkumar, University of Pittsburgh, US                       

  • Manabu Torii, Kaiser Permanente, US

  • Stephen Wu, UTHealth, US

  • Yonghui Wu, University of Florida, US

  • Qianqian Xie, Weill Cornell Medicine, US

  • Qingqing Zhu, National Library of Medicine, National Institutes of Health, US



Please contact if you have any questions.

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