Cardie, Claire
Cornell University
9 papers on CoChatORCID 0000-0002-2061-6094
Most cited papers
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Visual Prompt Tuning
Jia, M., Tang, L., Chen, B.-C., Cardie, C., Belongie, S., Hariharan, B., & Lim, S.-N. (2022) · Lecture Notes in Computer Science
Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications
Cited by 1,965
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Finding Deceptive Opinion Spam by Any Stretch of the Imagination
Ott, M., Choi, Y., Cardie, C., & Hancock, J. T. (2011) · arXiv
Spam and Phishing DetectionMisinformation and Its Impacts
Cited by 1,008
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Learning to Ask: Neural Question Generation for Reading Comprehension
Du, X., Shao, J., & Cardie, C. (2017) · Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Topic ModelingNatural Language Processing Techniques
Cited by 696
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Opinion Mining with Deep Recurrent Neural Networks
Irsoy, O., & Cardie, C. (2014) · Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP)
Sentiment Analysis and Opinion MiningTopic Modeling
Cited by 384
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Harvesting Paragraph-level Question-Answer Pairs from Wikipedia
Du, X., & Cardie, C. (2018) · Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Topic ModelingNatural Language Processing Techniques
Cited by 168
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Identifying Where to Focus in Reading Comprehension for Neural Question Generation
Du, X., & Cardie, C. (2017) · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing
Topic ModelingNatural Language Processing Techniques
Cited by 100
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Faithful or Extractive? On Mitigating the Faithfulness-Abstractiveness Trade-off in Abstractive Summarization
Ladhak, F., Durmus, E., He, H., Cardie, C., & McKeown, K. (2022) · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Topic ModelingAdvanced Text Analysis Techniques
Cited by 46
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Adapting Fake News Detection to the Era of Large Language Models
Su, J., Cardie, C., & Nakov, P. (2024) · Findings of the Association for Computational Linguistics: NAACL 2024
Misinformation and Its ImpactsSpam and Phishing Detection
Cited by 42
- Verified · note
Sentiment analysis on evolving social streams: how self-report imbalances can help
Guerra, P. C., Meira, W., & Cardie, C. (2014) · Proceedings of the 7th ACM international conference on Web search and data mining
Sentiment Analysis and Opinion MiningEmotion and Mood Recognition
Cited by 35
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