World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
84
Citations
30536
World Ranking
848
National Ranking
463

Research.com Recognitions

  • 2019 - ACM Fellow For contributions to natural language processing, including coreference resolution, information and opinion extraction

Overview

Claire Cardie is affiliated with Cornell University in the United States. Their research primarily focuses on computer science, with a strong concentration in artificial intelligence. They have contributed to numerous studies across several subfields, including computer vision and pattern recognition, information systems, communication, and statistical and nonlinear physics.

Their work spans a variety of topics, with significant attention to topic modeling and natural language processing techniques. Other areas of interest include multimodal machine learning applications, advanced text analysis techniques, generative adversarial networks and image synthesis, sentiment analysis and opinion mining, as well as text readability and simplification.

Claire Cardie has a substantial publication record featuring papers in key venues. Notable recent papers include:

  • "A Measure of Polarization on Social Media Networks Based on Community Boundaries" (2021) published in the Proceedings of the International AAAI Conference on Web and Social Media
  • "Faithful or Extractive? On Mitigating the Faithfulness-Abstractiveness Trade-off in Abstractive Summarization" (2022) published in the Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  • "Properties, Prediction, and Prevalence of Useful User-Generated Comments for Descriptive Annotation of Social Media Objects" (2021) also in the Proceedings of the International AAAI Conference on Web and Social Media
  • "Event Extraction by Answering (Almost) Natural Questions" (2020) published on arXiv (Cornell University)
  • "Investigating Prior Knowledge for Challenging Chinese Machine Reading Comprehension" (2020) published in Transactions of the Association for Computational Linguistics

The scientist frequently publishes in venues such as:

  • arXiv (Cornell University)
  • Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  • Proceedings of the International AAAI Conference on Web and Social Media
  • Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
  • Transactions of the Association for Computational Linguistics

Collaborations occur often with the following coauthors:

  • Serge Belongie
  • Menglin Jia
  • Xinya Du
  • Dong Yu
  • Ser-Nam Lim

Claire Cardie was recognized as an ACM Fellow in 2019 for contributions to natural language processing, including coreference resolution, information and opinion extraction.

Best Publications

  • Constrained K-means Clustering with Background Knowledge

    Kiri Wagstaff;Claire Cardie;Seth Rogers;Stefan Schrödl

  • Annotating Expressions of Opinions and Emotions in Language

    Janyce Wiebe;Theresa Wilson;Claire Cardie

  • Clustering with Instance-level Constraints

    Kiri Wagstaff;Claire Cardie

  • Finding Deceptive Opinion Spam by Any Stretch of the Imagination

    Myle Ott;Yejin Choi;Claire Cardie;Jeffrey T. Hancock

  • Improving Machine Learning Approaches to Coreference Resolution

    Vincent Ng;Claire Cardie

  • OpinionFinder: A System for Subjectivity Analysis

    Theresa Wilson;Paul Hoffmann;Swapna Somasundaran;Jason Kessler

  • Learning to Ask: Neural Question Generation for Reading Comprehension

    Xinya Du;Junru Shao;Claire Cardie

  • SemEval-2015 Task 2: Semantic Textual Similarity, English, Spanish and Pilot on Interpretability

    Eneko Agirre;Carmen Banea;Claire Cardie;Daniel Cer

  • SemEval-2014 Task 10: Multilingual Semantic Textual Similarity

    Eneko Agirre;Carmen Banea;Claire Cardie;Daniel Cer

  • Identifying Sources of Opinions with Conditional Random Fields and Extraction Patterns

    Yejin Choi;Claire Cardie;Ellen Riloff;Siddharth Patwardhan

  • Using decision trees to improve case-based learning

    Claire Cardie

  • Opinion Mining with Deep Recurrent Neural Networks

    Ozan Irsoy;Claire Cardie

  • Empirical Methods in Information Extraction

    Claire Cardie

  • Towards a General Rule for Identifying Deceptive Opinion Spam

    Jiwei Li;Myle Ott;Claire Cardie;Eduard Hovy

  • Learning with Compositional Semantics as Structural Inference for Subsentential Sentiment Analysis

    Yejin Choi;Claire Cardie

  • Event Extraction by Answering (Almost) Natural Questions

    Xinya Du;Claire Cardie

  • Negative Deceptive Opinion Spam

    Myle Ott;Claire Cardie;Jeffrey T. Hancock

  • Estimating the prevalence of deception in online review communities

    Myle Ott;Claire Cardie;Jeff Hancock

  • System and method for automatically summarizing fine-grained opinions in digital text

    Claire Cardie;Veselin Stoyanov;Yejin Choi;Eric Breck

  • Deep Recursive Neural Networks for Compositionality in Language

    Ozan Irsoy;Claire Cardie

  • Identifying Sources of Opinions with Conditional Random Fields and

    Yejin Choi;Claire Cardie;Ellen Riloff;Siddharth Patwardhan

Frequent Co-Authors

Yejin Choi
Yejin Choi Stanford University
Ellen Riloff
Ellen Riloff University of Utah
Veselin Stoyanov
Veselin Stoyanov Facebook (United States)
Janyce Wiebe
Janyce Wiebe University of Pittsburgh
Myle Ott
Myle Ott Facebook (United States)
Vincent Ng
Vincent Ng The University of Texas at Dallas
Jiwei Li
Jiwei Li Zhejiang University
Jeffrey T. Hancock
Jeffrey T. Hancock Stanford University
Diane J. Litman
Diane J. Litman University of Pittsburgh
Kiri L. Wagstaff
Kiri L. Wagstaff Oregon State University

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