World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
45
Citations
9556
World Ranking
7137
National Ranking
3127

Overview

Lucy Vanderwende is affiliated with the University of Washington in the United States. Their research primarily spans multiple intersecting fields, including Medicine, Health Professions, and Computer Science.

The work conducted by Vanderwende encompasses specialized subfields such as Family Practice, General Health Professions, and Artificial Intelligence. This multidisciplinary approach is reflected in the topics they focus on, which include Clinical Reasoning and Diagnostic Skills, Health Policy Implementation Science, and Machine Learning in Healthcare.

Their recent publication record includes a paper titled Predicting severe clinical events by learning about life-saving actions and outcomes using distant supervision, published in 2020 in the Journal of Biomedical Informatics. This paper has received citations reflecting engagement within the research community.

Collaborative relationships are evident in their frequent co-authors, including Dae Hyun Lee, Meliha Yetişgen, and Eric Horvitz, each contributing to multiple publications alongside Vanderwende.

Their publication venues highlight a focus on biomedical informatics, with the Journal of Biomedical Informatics being a notable outlet for their work.

  • Predicting severe clinical events by learning about life-saving actions and outcomes using distant supervision, 2020, Journal of Biomedical Informatics

  • Dae Hyun Lee
  • Meliha Yetişgen
  • Eric Horvitz

  • Journal of Biomedical Informatics

  • Medicine
  • Health Professions
  • Computer Science

  • Family Practice
  • General Health Professions
  • Artificial Intelligence

  • Clinical Reasoning and Diagnostic Skills
  • Health Policy Implementation Science
  • Machine Learning in Healthcare

Best Publications

  • Apparatus and methods for an information retrieval system that employs natural language processing of search results to improve overall precision

    Lisa Braden-Harder;Simon H. Corston;William B. Dolan;Lucy H. Vanderwende

  • Exploring Content Models for Multi-Document Summarization

    Aria Haghighi;Lucy Vanderwende

  • A Corpus and Cloze Evaluation for Deeper Understanding of Commonsense Stories

    Nasrin Mostafazadeh;Nathanael Chambers;Xiaodong He;Devi Parikh

  • System for processing textual inputs using natural language processing techniques

    Simon H. Corston;William B. Dolan;Lucy H. Vanderwende;Lisa Braden-Harder

  • Beyond SumBasic: Task-focused summarization with sentence simplification and lexical expansion

    Lucy Vanderwende;Hisami Suzuki;Chris Brockett;Ani Nenkova

  • Visual Storytelling

    Ting-Hao Kenneth Huang;Francis Ferraro;Nasrin Mostafazadeh;Ishan Misra

  • The Impact of Frequency on Summarization

    A. Nenkova;L. Vanderwende;Lucy Vanderwende

  • Generating Natural Questions About an Image

    Nasrin Mostafazadeh;Ishan Misra;Jacob Devlin;Margaret Mitchell

  • Proceedings of the 2013 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies

    Lucy Vanderwende;Hal Daumé;Katrin Kirchhoff

  • Enhancing Single-Document Summarization by Combining RankNet and Third-Party Sources

    Krysta Svore;Lucy Vanderwende;Christopher Burges

  • MindNet: Acquiring and Structuring Semantic Information from Text

    Stephen D. Richardson;William B. Dolan;Lucy Vanderwende

  • A compositional context sensitive multi-document summarizer: exploring the factors that influence summarization

    Ani Nenkova;Lucy Vanderwende;Kathleen McKeown

  • Powergrading: a Clustering Approach to Amplify Human Effort for Short Answer Grading

    Sumit Basu;Chuck Jacobs;Lucy Vanderwende

  • Multi-document summarization by maximizing informative content-words

    Wen-tau Yih;Joshua Goodman;Lucy Vanderwende;Hisami Suzuki

  • Learning the Visual Interpretation of Sentences

    C. Lawrence Zitnick;Devi Parikh;Lucy Vanderwende

  • Using Contextual Speller Techniques and Language Modeling for ESL Error Correction

    Michael Gamon;Jianfeng Gao;Chris Brockett;Alexandre Klementiev

  • A Corpus and Evaluation Framework for Deeper Understanding of Commonsense Stories

    Nasrin Mostafazadeh;Nathanael Chambers;Xiaodong He;Devi Parikh

  • Joint Inference for Knowledge Extraction from Biomedical Literature

    Hoifung Poon;Lucy Vanderwende

  • Automatically Deriving Structured Knowledge Bases From On-Line Dictionaries

    Stephen D. Richardson;Lucy Vanderwende;William Dolan

  • Deep Questions without Deep Understanding

    Igor Labutov;Sumit Basu;Lucy Vanderwende

  • Visual Storytelling

    Ting-Hao;Huang;Francis Ferraro;Nasrin Mostafazadeh

Frequent Co-Authors

William B. Dolan
William B. Dolan Microsoft (United States)
Michel Galley
Michel Galley Microsoft (United States)
Chris Brockett
Chris Brockett Microsoft (United States)
Michael Gamon
Michael Gamon Microsoft (United States)
Sumit Basu
Sumit Basu Microsoft (United States)
Jianfeng Gao
Jianfeng Gao Microsoft (United States)
Pushmeet Kohli
Pushmeet Kohli DeepMind (United Kingdom)
Devi Parikh
Devi Parikh Facebook (United States)
James F. Allen
James F. Allen University of Rochester
Margaret Mitchell
Margaret Mitchell Hugging Face

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