Information Tools

Affiliate Positions

  • Adjunct Assistant Professor, UW Human Centered Design & Engineering
  • Adjunct Assistant Professor, UW Biomedical Informatics & Medical Education
  • Adjunct Assistant Professor, UW Computer Science & Engineering

Specializations

  • Natural Language Processing
  • Health Informatics
  • Machine Learning for Health

Research Areas

Biography

Lucy Lu Wang is an Assistant Professor at the University of Washington Information School. Her research focuses on how to build better AI and NLP systems for extracting and understanding information from scientific texts; for example, can we create systems that leverage up-to-date literature to help us make better and more data-driven healthcare decisions, or design document understanding models that can improve the readability of scientific texts for people who are blind and low vision. Lucy’s work on supplement interaction detection, gender trends in academic publishing, COVID-19 datasets, and document understanding has been featured in Geekwire, Boing Boing, Axios, VentureBeat, and the New York Times. Prior to joining the UW, she was a Young Investigator at the Allen Institute for AI, and she received her PhD in Biomedical Informatics and Medical Education from the University of Washington.

Education

  • Ph D, Biomedical Informatics and Medical Education, University of Washington, 2019
  • MS, Applied Biomedical Engineering, The Johns Hopkins University, 2013
  • BS, Physics, Massachusetts Institute of Technology, 2009

Awards

  • Institute for Medical Data Science Pilot Award - Institute for Medical Data Science, 2023

Publications and Contributions

  • Conference Paper
    Harnessing CLIP for Evidence Identification in Scientific Literature: A Multimodal Approach to the Context24 Shared Task (2024)
    Proceedings of the Fourth Workshop on Scholarly Document Processing (SDP 2024), pp. 307-313 Authors: FNU Anukriti, Lucy Wang
  • Conference Paper
    CHIME: LLM-Assisted Hierarchical Organization of Scientific Studies for Literature Review Support (2024)
    ACL Findings 2024 Authors: Chao-chun Hsu, Erin Bransom, Jenna Sparks, Bailey Kuehl, Chenhao Tan, David Wadden, Lucy Wang, Aakanksha Naik
  • Conference Paper
    Characterizing LLM Abstention Behavior in Science QA with Context Perturbations (2024)
    EMNLP Findings 2024, pp. 3437-3450 Authors: Bingbing Wen, William G Howe, Lucy Wang
  • Conference Paper
    FigurA11y: AI Assistance for Writing Scientific Alt Text (2024)
    ACM IUI 2024, pp. 886–906 Authors: Nikhil Singh, Lucy Wang, Jonathan Bragg
  • Conference Paper
    From Paper to Card: Transforming Design Implications with Generative AI (2024)
    ACM CHI 2024, pp. 1-15 Authors: Donghoon Shin, Lucy Wang, Gary Hsieh
  • Invited Essay
    Generative AI for Scholarly Information Access (2024)
    Against the Grain, 36(3) Author: Lucy Wang
  • Book Editor, Scholarly
    Guest editorial: Semantics-enabled Biomedical Literature Analytics (2024)
    Journal of Biomedical Informatics, 150 Authors: Halil Kilicoglu, Faezeh Ensan, Bridget Thomson-McInnes, Lucy Wang
  • Conference Paper
    Is that the right dose? Investigating generative language model performance on veterinary prescription text analysis (2024)
    Proceedings of the 23rd Workshop on Biomedical Natural Language Processing (BioNLP 2024), pp. 390-397 Authors: Brian Hur, Lucy Wang, Laura Hardefeldt, Meliha Yetisgen
  • Conference Workshop Paper
    Mitigating Overconfidence in Large Language Models: A Behavioral Lens on Confidence Estimation and Calibration (2024)
    Workshop on Behavioral Machine Learning at the Conference on Neural Information Processing Systems (NeurIPS 2024) Authors: Bingbing Wen, Chenjun Xu, Bin Han, Robert Wolfe, Lucy Wang, William G Howe
  • Conference Paper
    NLP for Maternal Healthcare: Perspectives and Guiding Principles in the Age of LLMs (2024)
    ACM FAccT 2024, pp. 1446–1463 Authors: Maria Antoniak, Aakanksha Naik, Carla S. Alvarado, Lucy Wang, Irene Y. Chen
  • Conference Paper
    Personalized Jargon Identification for Enhanced Interdisciplinary Communication (2024)
    NAACL 2024 (Volume 1: Long Papers), pp. 4535–4550 Authors: Yue Guo, Joseph Chee Chang, Maria Antoniak, Erin Bransom, Trevor Cohen, Lucy Wang, Tal August
  • Guest Editorial
    Semantics- enabled Biomedical Literature Analytics (2024)
    Journal of Biomedical Informatics Authors: Halil Kilicoglu, Faezeh Ensan, Bridget Thomson-McInnes, Lucy Wang
  • Conference Paper
    TOPICAL: Topic Pages Automagically (2024)
    NAACL 2024 (Volume 3: System Demonstrations), pp. 1–11 Authors: John Giorgi, Amanpreet Singh, Doug Downey, Sergey Feldman, Lucy Wang
  • Journal Article, Academic Journal
    The Semantic Reader Project: Augmenting Scholarly Documents through AI-Powered Interactive Reading Interfaces (2024)
    Communications of the ACM Authors: Kyle Lo, Joseph Chee Chang, Andrew Head, Jonathan Bragg, Amy X Zhang, Cassidy Trier, Chloe Anastasiades, Tal August, Russell Authur, Danielle Bragg, Lucy Wang, others
  • Conference Paper
    Uncovering the New Accessibility Crisis in Scholarly PDFs: Publishing Model and Platform Changes Contribute to Declining Scholarly Document Accessibility in the Last Decade (2024)
    ACM ASSETS 2024 Authors: FNU Anukriti, Lucy Wang
  • Conference Paper
    Zero-shot scientific claim verification using LLMs and citation text (2024)
    Proceedings of the Fourth Workshop on Scholarly Document Processing (SDP 2024), pp. 269-276 Authors: Carlos Alvarez, Maxwell Bennett, Lucy Wang
  • Conference Paper
    Automated Metrics for Medical Multi-Document Summarization Disagree with Human Evaluations (2023)
    ACL 2023, pp. 9871–9889 Authors: Lucy Wang, Yulia Otmakhova, Jay DeYoung, Thinh Hung Truong, Bailey E Kuehl, Erin Bransom, Byron C Wallace
  • Magazine/Trade Publication
    Foundations of Responsible NLP Use for Maternal Health Equity (2023)
    AAMC Center For Health Justice Authors: Maria Antoniak, Aakanksha Naik, Irene Y Chen, Lucy Wang, Carla S. Alvarado
  • Conference Extended Abstract
    Measuring the Prevalence and Downstream Impact of Data and Method Sharing in arXiv Preprints (2023)
    2nd Annual International Conference on the Science of Science and Innovation (ICSSI 2023) Authors: Hancheng Cao, Jesse Dodge, Kyle Lo, Dan McFarland, Lucy Wang
  • Conference Paper
    Open Domain Multi-document Summarization: A Comprehensive Study of Model Brittleness under Retrieval (2023)
    EMNLP Findings 2023, pp. 8177–8199 Authors: John Giorgi, Luca Soldaini, Bo Wang, Gary Bader, Kyle Lo, Lucy Wang, Arman Cohan
  • Journal Article, Academic Journal
    Paper Plain: Making Medical Research Papers Approachable to Healthcare Consumers with Natural Language Processing (2023)
    ACM Transactions on Computer-Human Interaction (TOCHI), 30(5), pp. 1-38 Authors: Tal August, Lucy Wang, Jonathan Bragg, Marti Hearst, Andrew Head, Kyle Lo
  • Preprint
    The Semantic Scholar Open Data Platform (2023)
    Authors: Rodney Kinney, Chloe Anastasiades, Russell Authur, Iz Beltagy, Jonathan Bragg, Alexandra Buraczynski, Isabel Cachola, Stefan Candra, Yoganand Chandrasekhar, Arman Cohan, Miles Crawford, Doug Downey, Jason Dunkelberger, Oren Etzioni, Rob Evans, Sergey Feldman, Joseph Gorney, David Graham, Fangzhou Hu, Regan Huff, Daniel King, Sebastian Kohlmeier, Bailey Kuehl, Michael Langan, Daniel Lin, Haokun Liu, Kyle Lo, Jaron Lochner, Kelsey MacMillan, Tyler Murray, Chris Newell, Smita Rao, Shaurya Rohatgi, Paul Sayre, Zejiang Shen, Amanpreet Singh, Luca Soldaini, Shivashankar Subramanian, Amber Tanaka, Alex D. Wade, Linda Wagner, Lucy Wang, Chris Wilhelm, Caroline Wu, Jiangjiang Yang, Angele Zamarron, Madeleine Van Zuylen, Daniel S. Weld
  • Book, Chapter in Non-Scholarly Book-New
    Using Machine Learning to Verify Scientific Claims (2023)
    Artificial Intelligence in Science: Challenges, Opportunities and the Future of Research, pp. 121-128 Author: Lucy Wang
  • Overview of MSLR2022: A shared task on multi- document summarization for literature reviews (2022)
    SDP at COLING 2022 Authors: Lucy Wang, Jay DeYoung, Byron Wallace
  • Conference Paper
    A Dataset of Alt Texts from HCI Publications: Analyses and Uses Towards Producing More Descriptive Alt Texts of Data Visualizations in Scientific Papers (2022)
    ASSETS 2022 Authors: Sanjana Chintalapati, Jonathan Bragg, Lucy Wang
  • Journal Article, Academic Journal
    Automatic Question Answering for Multiple Stakeholders: the Epidemic Question Answering Dataset (2022)
    Scientific Data, 9(1), pp. 1-11 Authors: Travis Goodwin, Dina Demner-Fushman, Kyle Lo, Lucy Wang, Hoa Dang, Ian Soboroff
  • Conference Paper
    Generating Scientific Claims for Zero-Shot Scientific Fact Checking (2022)
    ACL 2022 (Volume 1: Long Papers), pp. 2448–2460 Authors: Dustin Wright, David Wadden, Kyle Lo, Bailey Kuehl, Arman Cohan, Isabelle Augenstein, Lucy Wang
  • Journal Article, Academic Journal
    Infrastructure for rapid open knowledge network development (2022)
    AI Magazine, 43(1), pp. 59-68 Authors: Michael Cafarella, Michael Anderson, Iz Beltagy, Arie Cattan, Sarah Chasins, Ido Dagan, Doug Downey, Oren Etzioni, Sergey Feldman, Tian Gao, Tom Hope, Kexin Huang, Sophie Johnson, Daniel King, Kyle Lo, Yuze Lou, Matthew Shapiro, Dinghao Shen, Shivashankar Subramanian, Lucy Wang, Yuming Wang, Yitong Wang, Daniel S. Weld, Jenny Vo-Phamhi, Anna Zeng, Jiayun Zou
  • Conference Paper
    Literature-Augmented Clinical Outcome Prediction (2022)
    NAACL Findings 2022, pp. 438–453 Authors: Aakanksha Naik, Sravanthi Parasa, Sergey Feldman, Lucy Wang, Tom Hope
  • Conference Extended Abstract
    Literature-Augmented Clinical Outcome Prediction (2022)
    Machine Learning for Health (ML4H) at NeurIPS 2022 Authors: Aakanksha Naik, Sravanthi Parasa, Sergey Feldman, Lucy Wang, Tom Hope
  • Conference Paper
    MultiVerS: Improving scientific claim verification with weak supervision and full-document context (2022)
    NAACL Findings 2022, pp. 61–76 Authors: David Wadden, Kyle Lo, Lucy Wang, Arman Cohan, Iz Beltagy, Hannah Hajishirzi
  • Journal Article, Academic Journal
    Paper to HTML: A publicly available web tool for converting scientific PDFs into accessible HTML (2022)
    ACM SIGACCESS Accessibility and Computing, Issue 134 Authors: Lucy Wang, Jonathan Bragg, Daniel S. Weld
  • Conference Paper
    SciFact-Open: Towards open-domain scientific claim verification (2022)
    EMNLP Findings 2022 Authors: Lucy Wang, David Wadden, Kyle Lo, Bailey Kuehl, Arman Cohan, Iz Beltagy, Hannaneh Hajishirzi
  • Journal Article, Academic Journal
    VILA: Improving structured content extraction from scientific PDF using visual layout groups (2022)
    Transactions of the ACL Authors: Zejiang Shen, Kyle Lo, Lucy Wang, Bailey Kuehl, Daniel S Weld, Doug Downey
  • Conference Extended Abstract
    A bibliometric analysis of citation diversity in accessibility and HCI research (2021)
    CHI Extended Abstracts 2021 Authors: Lucy Wang, Kelly Mack, Emma J McDonnnell, Dhruv Jain, Leah Findlater, Jon E. Froehlich
  • Journal Article, Academic Journal
    Gender trends in computer science authorship (2021)
    Communications of the ACM Authors: Lucy Wang, Gabriel Stanovsky, Luca Weihs, Oren Etzioni
  • Journal Article, Academic Journal
    Harnessing the Power of Smart and Connected Health to Tackle COVID-19: IoT, AI, Robotics, and Blockchain for a Better World (2021)
    IEEE Internet of Things Authors: Farshad Firouzi, Bahar Farahani, Mahmoud Daneshmand, Kathy Grise, Jaeseung Song, Roberto Saracco, Lucy Wang, Kyle Lo, Plamen Angelov, Eduardo Suares et al.
  • Preprint
    Improving the accessibility of scientific documents: current state, user needs, and a system solution to enhance scientific PDF accessibility for blind and low vision users (2021)
    Authors: Lucy Wang, Isabel Cachola, Jonathan Bragg, Evie Cheng, Chelsea Haupt, Matt Latzke, Bailey Kuehl, Madeleine van Zuylen, Linda Wagner, Daniel S. Weld
  • Conference Paper
    MSˆ2: A Dataset for Multi-Document Summarization of Medical Studies (2021)
    EMNLP 2021, pp. 7494–7513 Authors: Jay DeYoung, Iz Beltagy, Madeleine van Zuylen, Bailey Kuehl, Lucy Wang
  • Conference Paper
    SciA11y: Converting scientific papers to accessible HTML (2021)
    ASSETS 2021 Authors: Lucy Wang, Isabel Cachola, Jonathan Bragg, Evie Cheng, Chelsea Haupt, Matt Latzke, Bailey Kuehl, Madeleine van Zuylen, Linda Wagner, Daniel S. Weld
  • Journal Article, Academic Journal
    Searching for scientific evidence in a pandemic: an overview of TREC-COVID (2021)
    Journal of Biomedical Informatics Authors: Kirk Roberts, Tasmeer alam, Steven Bedrick, Dina Demner-Fushman, Kyle Lo, Ian Soboroff, Ellen Voorhees, Lucy Wang, William R. Hersh
  • Conference Paper
    What do we mean by 'Accessibility Research'? A literature survey of accessibility papers in CHI and ASSETS from 1994 to 2019 (2021)
    CHI 2021 Authors: Kelly Mack, Emma McDonnell, Dhruv Jain, Lucy Wang, Jon E. Froehlich, Leah Findlater
  • Conference Workshop Paper
    CORD-19: the COVID-19 open research dataset (2020)
    NLP-COVID at ACL 2020 Authors: Lucy Wang, Kyle Lo, Yoganand Chandrasekhar, Russell Reas, Jiangjiang Yang, Doug Burdick, Darrin Eide, Kathryn Funk, Yannis Katsis, Rodney Michael Kinney, Yunyao Li, Ziyang Liu, William Merrill, Paul Mooney, Dewey A. Murdick, Devvret Rishi, Jerry Sheehan, Zhihong Shen, Brandon Stilson, Alex D. Wade, Kuansan Wang, Nancy Xin Ru Wang, Christopher Wilhelm, Boya Xie, Douglas M. Raymond, Daniel S. Weld, Oren Etzioni, Sebastian Kohlmeier
  • Conference Paper
    Fact or fiction: verifying scientific claims (2020)
    EMNLP 2020 Authors: David Wadden, Shanchuan Lin, Kyle Lo, Lucy Wang, Madeleine van Zuylen, Arman Cohan, Hannaneh Hajishirzi
  • Conference Paper
    MedICaT: a dataset of medical images, captions, and textual references (2020)
    EMNLP Findings 2020 Authors: Sanjay Subramanian, Lucy Wang, Ben Bogin, Sachin Mehta, Madeleine van Zuylen, Sravanthi Parasa, Sameer Singh, Matt Gardner, Hannaneh Hajishirzi
  • Journal Article, Academic Journal
    Mitigating biases in CORD-19 for analyzing COVID-19 literature (2020)
    Frontiers in Research Metrics and Analytics Authors: Anshul Kanakia, Kuansan Wang, Yuxiao Dong, Boya Xie, Kyle Lo, Zhihong Shen, Lucy Wang, Chiyuan Huang, Darrin Eide, Sebastian Kohlmeier, Chieh-Han Wu
  • Journal Article, Academic Journal
    Modelling kidney disease using ontology: insights from the Kidney Precision Medicine Project (2020)
    Nature Reviews Nephrology Authors: Edison Ong, Lucy Wang, Jennifer Schaub, John F. O'Toole, Becky Steck, Jonathan Himmelfarb, Ravi Iyengar, Matthias Kretzler, Sean Mooney, Yongqun He, Kidney Precision Medicine Project
  • Conference Paper
    Overview of the 2020 Epidemic Question Answering Track (2020)
    TAC 2020 Authors: Travis R. Goodwin, Dina Demner-Fushman, Kyle Lo, Lucy Wang, William R. Hersh, Hao T. Dang, Ian M. Soboroff
  • Conference Paper
    S2ORC: the Semantic Scholar open research corpus (2020)
    ACL 2020 Authors: Kyle Lo, Lucy Wang, Mark Neumann, Robert Kinney, Daniel S. Weld
  • Conference Paper
    SUPP.AI: finding evidence for supplement-drug interactions (2020)
    ACL Demo 2020 Authors: Lucy Wang, Oyvind Tafjord, Arman Cohan, Sarthak Jain, Sam Skjonsberg, Carissa Schoenick, Nick Botner, Waleed Ammar
  • Conference Paper
    TREC-COVID: Constructing a Pandemic Information Retrieval Test Collection (2020)
    SIGIR Forum Authors: Ellen Voorhees, Tasmeer Alam, Steven Bedrick, Dina Demner-Fushman, William R. Hersh, Kyle Lo, Kirk Roberts, Ian Soboroff, Lucy Wang
  • Journal Article, Academic Journal
    TREC-COVID: rationale and structure of an information retrieval shared task for COVID-19 (2020)
    Journal of the American Medical Informatics Association Authors: Kirk Roberts, Tasmeer Alam, Steven Bedrick, Dina Demner-Fushman, Kyle Lo, Ian Soboroff, Ellen Voorhees, Lucy Wang, William R. Hersh
  • Journal Article, Academic Journal
    Text mining approaches for dealing with the rapidly expanding literature on COVID-19 (2020)
    Briefings in Bioinformatics Authors: Lucy Wang, Kyle Lo
  • Thesis
    Ontology-driven pathway data integration (2019)
    Department of Biomedical Informatics and Medical Education, University of Washington Author: Lucy Wang
  • Conference Extended Abstract
    Extracting evidence of supplement-drug interactions from literature (2019)
    ML4H at NeurIPS 2019 Authors: Lucy Wang, Oyvind Tafjord, Arman Cohan, Sarthak Jain, Sam Skjonsberg, Carissa Schoenick, Nick Botner, Waleed Ammar
  • Journal Article, Academic Journal
    Predicting instances of Pathway Ontology classes for pathway integration (2019)
    Journal of Biomedical Semantics Authors: Lucy Wang, G. Thomas Hayman, Jennifer R. Smith, Monika Tutaj, Mary E. Shimoyama, John H. Gennari
  • Conference Paper
    Construction of the literature graph in Semantic Scholar (2018)
    NAACL Industry 2018 Authors: Waleed Ammar, Dirk Groeneveld, Chandra Bhagavatula, Iz Beltagy, Miles Crawford, Doug Downey, Jason Dunkelberger, Ahmed Elgohary, Sergey Feldman, Vu Ha, Rodney Kinney, Sebastian Kohlmeier, Kyle Lo, Tyler Murray, Hsu-Han Ooi, Matthew Peters, Joanna Power, Sam Skjonsberg, Lucy Wang, Chris Wilhelm, Zheng Yuan, Madeleine van Zuylen, Oren Etzioni
  • Conference Workshop Paper
    Ontology alignment in the biomedical domain using entity definitions and context (2018)
    BioNLP at ACL 2018 Authors: Lucy Wang, Chandra Bhagavatula, Mark Neumann, Kyle Lo, Chris Wilhelm, Waleed Ammar
  • Preprint
    PhenotypeXpression: sub-classification of disease states using public gene expression data and literature (2018)
    Authors: Lucy Wang, Huaiying Lin, Xiaojun Bao, Subhajit Sengupta, Ben Busby, Robert R. Butler III
  • Journal Article, Academic Journal
    Fluctuation analysis of peak expiratory flow and its associations with treatment failure in asthma (2017)
    American Journal of Respiratory and Critical Care Medicine Authors: David A. Kaminsky, Lucy Wang, Jason HT Bates, Cindy Thamrin, David M. Shade, Anne E. Dixon, Robert A. Wise, Stephen Peters, Charles G. Irvin
  • Conference Paper
    Similarity metrics for determining overlap among biological pathways (2017)
    ICBO 2017 Authors: Lucy Wang, John H. Gennari
  • Conference Paper
    An analysis of differences in biological pathway resources (2016)
    ICBO and BioCreative 2016 Authors: Lucy Wang, John E. Gennari, Neil F. Abernethy
  • Conference Paper
    Development of a novel Markov chain model for the prediction of head and neck squamous cell carcinoma dissemination (2016)
    AMIA 2016 Authors: Hyunggu Jung, Anthony Law, Eli Grunblatt, Lucy Wang, Aaron Kusano, Jose LV Mejino Jr., Mark E. Whipple
  • Conference Paper
    Biological model development as an opportunity to provide content auditing for the Foundational Model of Anatomy ontology (2015)
    AMIA 2015 Authors: Lucy Wang, Eli Grunblatt, Hyunggu Jung, Ira J. Kalet, Mark E. Whipple
  • Journal Article, Academic Journal
    Electrical impedance myography in Duchenne muscular dystrophy and health controls: a multi-center study of reliability and validity (2015)
    Muscle & Nerve Authors: Craig M. Zaidman, Lucy Wang, Anne M. Connolly, Julaine Florence, Brenda L. Wong, Julie A. Parsons, Susan Apkon, Namita Goyal, Eugene Williams, Diana Escolar, Seward B Rutkove, Jose L. Bohorquez, DART-EIM Clinical Evaluators Consortium
  • Masters Thesis
    Matching Pursuit for Detecting Epileptic Response in EEG Following Photic Stimulation (2013)
    Department of Biomedical Engineering, The Johns Hopkins University Author: Lucy Wang
  • Journal Article, Academic Journal
    Assessment of alterations in the electrical impedance of muscle after experimental nerve injury via finite-element analysis (2011)
    IEEE Transactions on Biomedical Engineering Authors: Lucy Wang, Mohammad Ahad, Alistair McEwan, Jia Li, Mina Jafarpoor, Seward B. Rutkove
  • Journal Article, Academic Journal
    Electrical impedance myography for monitoring motor neuron loss in the SOD1 G93A amyotrophic lateral sclerosis rat (2011)
    Clinical Neurophysiology Authors: Lucy Wang, Andrew J. Spieker, Jia Li, Seward B. Rutkove

Presentations

  • Patient Information Rights and Access: An Exploration of Health Informatics and Population Health (2025)
    UW Information School Alumni Event - Online
  • Advancing Science and Industry with Generative AI (2024)
    Seattle AWIS/WiDS Event - Seattle, WA
  • AI for Biomedicine (2024)
    Fred Hutch Translational Data Science Integrated Research Center (TDS IRC) Annual Retreat - Kirkland, WA
  • AI-assisted health information extraction and summarization (2024)
    American Association of Pediatric Hematology-Oncology (ASPHO) Informatics, Innovation & Entrepreneurship-Special Interest Group (IIE-SIG) - Seattle, WA, USA
  • AI-powered systems for scholarly search and content production (2024)
    AI Week for Researchers, Singapore Management University - Online
  • Challenges and Opportunities in Translational Science (2024)
    Semantic Scholar Research, AI2 - Online
  • FigurA11y: AI Assistance for Writing Scientific Alt Text (2024)
    ACM Conference on Intelligent User Interfaces (IUI 2024) - Greenville, South Carolina, USA
  • Navigating AI in Publishing: Best Practices and Use cases for IP Management, Equity, and Accessibility (2024)
    Zendy/AUPresses Webinar - Online
  • Paper Plain: Making medical research papers approachable to healthcare consumers with natural language processing (2024)
    ACM Transactions on Computer-Human Interaction - Honolulu, HI
  • Personalized Jargon Identification for Enhanced Interdisciplinary Communication (2024)
    NAACL - Online
  • Roundtable Discussion: The impact of the increasing use of AI on the research workflow - in particular, its effect on research quality, research evaluation and our skills (2024)
    AI Week for Researchers, Singapore Management University - Online
  • TOPICAL: TOPIC Pages Automagically (2024)
    NAACL System Demonstrations - Mexico City, Mexico
  • 6 Years of FEVER Workshops - How Far Have We Come? (2023)
    The Sixth Workshop on Fact Extraction and Verification (FEVER) at EACL - Dubrovnik, Croatia
  • AI in Scholarly Communications: Where We Are and Where We’re Going (2023)
    FORCE11 Scholarly Communication Institute (FSCI) Conference - Online
  • Automated Metrics for Medical Multi-Document Summarization Disagree with Human Evaluations (2023)
    Association for Computational Linguistics (ACL’23) - Toronto, Canada
  • Biomedical Evidence Extraction and Synthesis (2023)
    The Center for Informatics Research in Science and Scholarship (CIRSS) Seminar Series, School of Information Sciences, UIUC - Urbana-Champaign, IL
  • Can Scientific Claim Verification Help Us Do Better Science? (2023)
    The Sixth Workshop on Fact Extraction and Verification (FEVER) at EACL - Dubrovnik, Croatia
  • Generative AI for Translational Scholarly Communication (2023)
    SAUL-RSTF Webinar, National University of Singapore - Online
  • Generative AI for Translational Scholarly Communication. (2023)
    Hong Kong University of Science and Technology Library - Online
  • Improving the Accessibility of Scholarly Communication (2023)
    Universidade Estadual de Campinas (Unicamp) Computer Science Seminar - Online
  • Incorporating External Knowledge for Clinical Outcome Prediction (2023)
    Institute for Medical Data Science Seminar - Seattle, WA
  • Measuring the prevalence and downstream impact of data and method sharing in arXiv preprints (2023)
    International Conference on Computational Systems and Communication (ICSSI 2023) - Evanston, Illinois
  • Open domain multi-document summarization: A comprehensive study of model brittleness under retrieval (2023)
    2023 Conference on Empirical Methods in Natural Language Processing (EMNLP 2023) - Sentosa, Singapore
  • Taking and Giving Back: Open Access, Generative AI, and the Transformation of Scholarly Communication (2023)
    OA Week, Indiana University Bloomington - Bloomington, Illinois
  • AI and Scholarly Publishing (2022)
    Society for Scholarly Publishing ‘Ask the Experts’ Webinar - Online
  • Generating Scientific Claims for Zero-Shot Scientific Fact Checking (2022)
    ACL 2022 - Dublin, Ireland
  • How AI can make PDF useful again (2022)
    PageBreak - San Francisco, CA
  • Identifying and Mitigating Algorithmic Biases (2022)
    School of Law, Seattle University - Seattle, WA
  • Knowledge Representation and Semantics for Biomedical Knowledge Synthesis (2022)
    SeBiLAn Workshop at TheWebConf (WWW) - Online
  • Literature-Augmented Clinical Outcome Prediction (2022)
    NAACL - Seattle, WA, USA
  • MultiVerS: Improving scientific claim verification with weak supervision and full-document context (2022)
    NAACL - Seattle, WA, USA
  • Ontology and NLP: Bridging the ‘Structural Chasm (2022)
    Department of Biomedical Informatics and Medical Education, University of Washington - Seattle, WA, USA
  • The Machine Element: Signals and Noise: How AI and ML Techniques are Being Deployed to Track a Global Pandemic (2022)
    Friends of the NLM Virtual Workshop - Online
  • Unlocking Biomedical Knowledge: NLP Systems for Automating Systematic Literature Review (2022)
    Information School, University of Washington - Online
  • Unlocking Biomedical Knowledge: NLP Systems for Automating Systematic Literature Review (2022)
    School of Data Science, University of Virginia - Charlottesville, VA, USA
  • Unlocking Biomedical Knowledge: NLP Systems for Automating Systematic Literature Review (2022)
    Department of Informatics, Luddy School of Informatics, Indiana University-Bloomington - Online
  • Unlocking Biomedical Knowledge: NLP Systems for Synthesizing Biomedical Evidence (2022)
    Computer Science Research Seminar, Emory University - Online
  • VILA: Improving Structured Content Extraction from Scientific PDFs Using Visual Layout Groups (2022)
    ACL - Dublin, Ireland
  • A bibliometric analysis of citation diversity in accessibility and HCI research (2021)
    CHI - Online
  • Fast-track Learning: Growing Insights from Text-mining COVID-19 Data (2021)
    1st GTM2021 Virtual Forum - Online
  • Mathematics in the Scholarly Literature (2021)
    Conference on Artificial Intelligence and Theorem Proving (AITP) - Aussois, France and Online
  • MS^2: Multi-document summarization of medical studies (2021)
    EMNLP - Punta Cana, Dominican Republic
  • NLP and Text Mining Resources for COVID-19 and Beyond (2021)
    Machine Learning for Preventing and Combating Pandemics Workshop at ICLR 2021 - Online
  • Practical NLP for Biomedicine: Synthesizing Knowledge from Scientific Literature (2021)
    CS Colloquium, Northwestern University - Online
  • Practical NLP for scientific text mining: extracting and synthesizing knowledge from the literature (2021)
    Science of Science Summer School (S4) - Online
  • SciA11y: Converting scientific papers to accessible HTML (2021)
    ASSETS - Online
  • Text Mining Insights from the COVID-19 Pandemic (2021)
    Bibliometric-enhanced Information Retrieval (BIR) Workshop at ECIR 2021 - Online
  • The Power of AI: A Discussion on COVID-19 & the Future of Industries (2021)
    Legalweek - Online
  • The Power of AI: A Discussion on COVID-19 & the Future of Industries (2021)
    Relativity Media Pandemic short film discussion panel - Online
  • Using Machine Learning to Verify Scientific Claims (2021)
    OECD Workshop on AI and the Productivity of Science - Online
  • What do we mean by 'Accessibility Research'? A literature survey of accessibility papers in CHI and ASSETS from 1994 to 2019 (2021)
    CHI - Online
  • Building Community and Data Ecosystem for Data Discovery and Reuse (2020)
    Artificial Intelligence for Data Discovery and Reuse (AIDR) Symposium - Online
  • CORD-19 Search: Using Machine Learning to Explore COVID-19 Scientific Literature (2020)
    AWS Education: Research Seminar Series - Online
  • CORD-19: the COVID-19 open research datase (2020)
    NLP-COVID Workshop at ACL - Online
  • CORD-19: The COVID-19 Open Research Dataset (2020)
    Global Tech Mining Conference - Online
  • CORD-19: The COVID-19 Open Research Dataset (2020)
    NLP Meetup (NY-NLP, A2D-NLP, DC-NLP, Hungarian NLP, London Text Analytics) - Online
  • Fact or fiction: verifying scientific claims (2020)
    EMNLP - Online
  • Improving Access to Scientific Literature for NLP (2020)
    Microsoft Research Hanover Group - Online
  • MedICaT: a dataset of medical images, captions, and textual references (2020)
    SDP Workshop at EMNLP - Online
  • Mining the COVID-19 Scientific Literature with the CORD-19 Open Research Dataset. (2020)
    Artificial Intelligence for Data Discovery and Reuse (AIDR) Symposium - Online
  • Open Publishing and Open Data (2020)
    Neuro-Gairdner Open Science in Action Symposium - Online
  • Rapid Fire Session: Showcasing What is Here! (2020)
    Gastroenterology and Artificial Intelligence: 2nd Annual Artificial Intelligence Summit - Online
  • S2ORC: the Semantic Scholar open research corpus (2020)
    ACL - Online
  • SUPP.AI: finding evidence for supplement-drug interactions (2020)
    ACL Demo - Online
  • The COVID-19 Open Research Dataset (2020)
    Connected Health and COVID-19: Now and Beyond the Great Lockdown - Online
  • The COVID-19 Open Research Dataset (2020)
    Semantic Indexing and Information Retrieval for Health (SIIRH) Workshop at ECIR - Online
  • The COVID-19 Open Research Dataset (2020)
    Centre for Science and Technology Studies, Leiden University - Online
  • The Role of Scientific NLP During an Epidemic (2020)
    1st SciNLP Workshop on Natural Language Processing and Data Mining for Scientific Text - Online
  • TREC-COVID: information retrieval for supporting COVID-19 research (2020)
    AMIA Natural Language Processing Working Group Pre-Symposium - Online
  • Automated Identification of Noise Signal in Spinal DCE-MRI using Independent Component Analysis and Unsupervised Machine Learning (2019)
    ISMRM - Montréal, QC, Canada
  • Extracting evidence of supplement-drug interactions from literature (2019)
    ML4H Workshop at NeurIPS - Vancouver, BC, Canada
  • Ontology-based Integration of Biological Pathway Data (2019)
    Scientific Literature Knowledge Bases Workshop at Automated Knowledge Base Construction (AKBC) - Amherst, MA, USA
  • A Brief Introduction to Ontology (2018)
    Kidney Precision Medicine Project Ontology Webinar - Seattle, WA, USA
  • A SPARQL Tutorial (2018)
    Department of Biomedical Informatics and Medical Education, University of Washington - Seattle, WA, USA
  • Learning from Biomedical Knowledge (2018)
    The Allen Institute for Artificial Intelligence (AI2) - Seattle, WA, USA
  • Ontologies and Algorithms for Integrating Biological Pathway Data (2018)
    BIME 590 Seminar, Department of Biomedical Informatics and Medical Education, University of Washington - Seattle, WA, USA
  • Ontology alignment in the biomedical domain using entity definitions and context (2018)
    Bio-NLP Workshop at ACL - Melbourne, Australia
  • Ontology- based integration of pathway databases using Pathway Ontology annotations (2018)
    Bio-Ontologies at ISMB - Chicago, IL, USA
  • Quantifying the effects of gene entity disambiguation for GSEA (2018)
    AMIA Symposium - San Francisco, CA, USA
  • Semi-automated integration of pathway data for pathway analysis (2018)
    Knowledge Representation and Semantics Working Group Pre-Symposium Doctoral Consortium, AMIA Symposium - San Francisco, CA, USA
  • Detection and Functional Classification of Fusion Genes Using Pathway Expression Profiles (2017)
    AMIA Joint Summits on Translational Science - San Francisco, CA, USA
  • Similarity metrics for determining overlap among biological pathways (2017)
    ICBO - Newcastle upon Tyne, United Kingdom
  • An analysis of differences in biological pathway resources (2016)
    ICBO & BioCreative - Corvallis, OR, USA
  • Auditing tree-like organ systems in the FMA using network motifs (2016)
    AMIA Symposium - Chicago, IL, USA
  • Development of a novel Markov chain model for the prediction of head and neck squamous cell carcinoma dissemination (2016)
    AMIA 2016 - Chicago, IL, USA
  • Discovering representational differences between pathway knowledge bases for pathway resource merging (2016)
    AMIA Symposium - Chicago, IL, USA
  • Identifying and resolving inconsistencies in biological pathway resources (2016)
    NLM Informatics Training Conference - Columbus, OH, USA
  • Biological model development as an opportunity to provide content auditing for the foundational model of anatomy ontology (2015)
    AMIA Symposium - San Francisco, CA, USA
  • Development of a discharge ontology to support postanesthesia discharge decision making (2015)
    ICBO - Lisbon, Portugal
  • Ontological content auditing during model creation using the foundational model of anatomy (2015)
    NLM Informatics Training Conference - Bethesda, MD, USA
  • Detrended fluctuation analysis of peak expiratory flow and its association with destabilization of asthma control (2014)
    International Conference of the American Thoracic Society (ATS) - San Diego, CA, USA
  • Electrical impedance myography in DMD: a multi-center study of reliability and relationships to strength and function (2013)
    The 18th International Congress of the World Muscle Society - Asilomar, CA, USA