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D-Index & Metrics

Computer Science

D-Index
40
Citations
8643
World Ranking
9165
National Ranking
3901

Overview

Rebecca J. Passonneau is affiliated with Pennsylvania State University in the United States. Their research spans multiple areas within computer science and social sciences, with a notable emphasis on artificial intelligence and education.

The scientist has contributed extensively to both primary fields of study:

  • Computer Science
  • Social Sciences

Subfields of particular focus include:

  • Artificial Intelligence
  • Education
  • Developmental and Educational Psychology
  • Computer Networks and Communications
  • General Social Sciences

Main topics covered in their work are diverse and reflect interdisciplinary research interests:

  • Topic Modeling
  • Natural Language Processing Techniques
  • Innovative Teaching and Learning Methods
  • Educational Assessment and Pedagogy
  • Educational Strategies and Epistemologies
  • Student Assessment and Feedback
  • Intelligent Tutoring Systems and Adaptive Learning

The scientist has published papers in various venues, including:

  • arXiv (Cornell University)
  • Proceedings.
  • Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  • Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  • IEEE Transactions on Education

Some recent papers authored or coauthored by Rebecca J. Passonneau are:

  • "CONTaiNER: Few-Shot Named Entity Recognition via Contrastive Learning," 2022, Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  • "A Semantic Feature-Wise Transformation Relation Network for Automatic Short Answer Grading," 2021, Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  • "Analytical Techniques for Developing Argumentative Writing in STEM: A Pilot Study," 2021, IEEE Transactions on Education
  • "Examining the Effect of Automated Assessments and Feedback on Students' Written Science Explanations," 2023, Proceedings.
  • "European journal of applied sciences," 2023, European journal of applied sciences

Frequent collaborative partners include:

  • Sadhana Puntambekar
  • Dana Gnesdilow
  • ChanMin Kim
  • Mahsa Sheikhi Karizaki
  • Indrani Dey

Best Publications

  • Sentiment Analysis of Twitter Data

    Apoorv Agarwal;Boyi Xie;Ilia Vovsha;Owen Rambow

  • Evaluating Content Selection in Summarization: The Pyramid Method

    Ani Nenkova;Rebecca J. Passonneau

  • The Pyramid Method: Incorporating human content selection variation in summarization evaluation

    Ani Nenkova;Rebecca Passonneau;Kathleen McKeown

  • Machine Learning for the New York City Power Grid

    C. Rudin;D. Waltz;R. N. Anderson;A. Boulanger

  • Discourse segmentation by human and automated means

    Rebecca J. Passonneau;Diane J. Litman

  • Quantitative and Qualitative Evaluation of Darpa Communicator Spoken Dialogue Systems

    Marilyn A. Walker;Rebecca Passonneau;Julie E. Boland

  • INTENTION-BASED SEGMENTATION: HUMAN RELIABILITY AND CORRELATION WITH LINGUISTIC CUES

    Rebecca J. Passonneau;Diane J. Litman

  • The Benefits of a Model of Annotation

    Rebecca J. Passonneau;Bob Carpenter

  • Abstractive Multi-Document Summarization via Phrase Selection and Merging

    Lidong Bing;Piji Li;Yi Liao;Wai Lam

  • Semantic Frames to Predict Stock Price Movement

    Boyi Xie;Rebecca J. Passonneau;Leon Wu;Germán G. Creamer

  • Measuring Agreement on Set-valued Items (MASI) for Semantic and Pragmatic Annotation

    Rebecca J. Passonneau

  • A computational model of the semantics of tense and aspect

    Rebecca J. Passonneau

  • Combining Multiple Knowledge Sources for Discourse Segmentation

    Diane J. Litman;Rebecca J. Passonneau

  • CONTaiNER: Few-Shot Named Entity Recognition via Contrastive Learning.

    Sarkar Snigdha Sarathi Das;Arzoo Katiyar;Rebecca J. Passonneau;Rui Zhang

  • Computing Reliability for Coreference Annotation

    Rebecca J. Passonneau

  • Do summaries help

    Kathleen McKeown;Rebecca J. Passonneau;David K. Elson;Ani Nenkova

  • DARPA communicator: Cross-system results for the 2001 evaluation

    Marilyn A. Walker;Alexander I. Rudnicky;Rashmi Prasad;John S. Aberdeen

  • The Manually Annotated Sub-Corpus: A Community Resource for and by the People

    Nancy Ide;Collin Baker;Christiane Fellbaum;Rebecca Passonneau

  • DATE: a dialogue act tagging scheme for evaluation of spoken dialogue systems

    Marilyn Walker;Rebecca Passonneau

  • MASC: The manually annotated Sub-Corpus of American English

    Nancy Ide;Collin F. Baker;Christiane Fellbaum;Charles J. Fillmore

Frequent Co-Authors

Cynthia Rudin
Cynthia Rudin Duke University
Kathleen R. McKeown
Kathleen R. McKeown Columbia University
Judith L. Klavans
Judith L. Klavans University of Maryland, College Park
Nancy Ide
Nancy Ide Vassar College
Diane J. Litman
Diane J. Litman University of Pittsburgh
Christiane Fellbaum
Christiane Fellbaum Princeton University
Ani Nenkova
Ani Nenkova Adobe Systems (United States)
Owen Rambow
Owen Rambow Stony Brook University
Martha Palmer
Martha Palmer University of Colorado Boulder
Jimmy Lin
Jimmy Lin University of Waterloo

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