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Cornelia Caragea
Professor

Science and Engineering Offices
Computer Science
University of Illinois at Chicago
Chicago, IL 60607, USA
ude.ciu@ailenroc

I am currently serving as a Program Director at the National Science Foundation. Please connect with me at vog.fsn@aegaracc.

My research interests are in natural language processing, artificial intelligence, deep learning, and information retrieval.

Here's what I follow on productivity.

News

• Several Research Assistantships Available: I am currently looking for smart and highly motivated PhD students. If you are a student interested in Natural Language Processing, Information Retrieval, and Machine Learning, and would like to work as a research assistant with me, please send me an email at ude.ciu@ailenroc.

• Check out our NeurIPS 2023 papers on "Efficient Beam Tree Recursion." and "Recursion in Recursion: Two-Level Nested Recursion for Length Generalization with Scalability." Congratulations, Jishnu!

• Check out our ICML 2023 papers on "Beam Tree Recursive Cells" and "Monotonic Location Attention for Length Generalization" Congratulations, Jishnu!

• Check out our CVPR 2023 paper on "MarginMatch: Improving Semi-Supervised Learning with Pseudo-Margins." Congratulations, Tiberiu!

• Check out our EMNLP 2023 papers on "JointMatch: A Unified Approach for Diverse and Collaborative Pseudo-Labeling to Semi-Supervised Text Classification." and "Multi-Task Knowledge Distillation with Embedding Constraints for Scholarly Keyphrase Boundary Classification." Congratulations, Henry and Seo Yeon!

• Check out our 7 papers accepted at ACL and ACL-Findings 2023! Congratulations to my wonderful students!

• Check out our 7 papers accepted at EMNLP and EMNLP-Findings 2022! Congratulations to my wonderful students!

• Also check us on csrankings.org.

Selected Publications

• Jishnu Ray Chowdhury and Cornelia Caragea (2023). "Efficient Beam Tree Recursion." In: Proceedings of the 37th Conference on Neural Information Processing Systems (NeurIPS 2023). New Orleans, Louisiana. [pdf]

• Jishnu Ray Chowdhury and Cornelia Caragea (2023). "Recursion in Recursion: Two-Level Nested Recursion for Length Generalization with Scalability." In: Proceedings of the 37th Conference on Neural Information Processing Systems (NeurIPS 2023). New Orleans, Louisiana. [pdf]

• Henry Peng Zou and Cornelia Caragea (2023). "JointMatch: A Unified Approach for Diverse and Collaborative Pseudo-Labeling to Semi-Supervised Text Classification." In: Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP 2023). Singapore. [pdf]

• Seo Yeon Park and Cornelia Caragea (2023). "Multi-Task Knowledge Distillation with Embedding Constraints for Scholarly Keyphrase Boundary Classification." In: Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP 2023). Singapore. [pdf]

• Henry Peng Zou, Yue Zhou, Weizhi Zhang, and Cornelia Caragea (2023). "DeCrisisMB: Debiased Semi-Supervised Learning for Crisis Tweet Classification via Memory Bank." In: Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: Findings (EMNLP-Findings 2023). Singapore. [pdf]

• Jishnu Ray Chowdhury and Cornelia Caragea (2023). "Beam Tree Recursive Cells." In: Proceedings of the 40th International Conference on Machine Learning (ICML 2023). Honolulu, Hawaii. [pdf]

• Jishnu Ray Chowdhury and Cornelia Caragea (2023). "Monotonic Location Attention for Length Generalization." In: Proceedings of the 40th International Conference on Machine Learning (ICML 2023). Honolulu, Hawaii. [pdf]

• Tiberiu Sosea and Cornelia Caragea. (2023) "MarginMatch: Improving Semi-Supervised Learning with Pseudo-Margins." In: Proceedings of The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2023), Vancouver, Canada. [pdf]

• Chenye Zhao, Yingjie Li, and Cornelia Caragea. (2023). "C-STANCE: A Large Dataset for Chinese Zero-Shot Stance Detection." In: Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (ACL 2023). Toronto, Canada.

• Yingjie Li, Krishna Garg, and Cornelia Caragea. (2023). "A New Direction in Stance Detection: Target-Stance Extraction in the Wild." In: Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (ACL 2023). Toronto, Canada.

• Shweta Yadav, Cornelia Caragea, Chenye Zhao, Naincy Kumari, Marvin Solberg, Tanmay Sharma. (2023). "Towards Identifying Fine-Grained Depression Symptoms from Memes." In: Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (ACL 2023). Toronto, Canada.

• Tiberiu Sosea, Hongli Zhan, Jessy Junyi Li, and Cornelia Caragea. "Unsupervised Summarization of Emotion Triggers Using Emotion-Biased PageRank." In: Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (ACL 2023). Toronto, Canada.

• Krishna Garg, Jishnu Ray Chowdhury, and Cornelia Caragea (2023). "Data Augmentation for Low-Resource Keyphrase Generation." In: Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics: Findings (ACL-Findings 2023). Toronto, Canada.

• Mahshid Hosseini and Cornelia Caragea. (2023). "Semi-supervised Domain Adaptation for Emotion-related Tasks." In: Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics: Findings (ACL-Findings 2023). Toronto, Canada.

• Yingjie Li and Cornelia Caragea. (2023). "Distilling Calibrated Knowledge for Stance Detection." In: Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics: Findings (ACL-Findings 2023). Toronto, Canada.

• Yingjie Li, Chenye Zhao and Cornelia Caragea. (2023) "TTS: A Target-based Teacher-Student Framework for Zero-Shot Stance Detection." In: Proceedings of The Web Conference (WWW 2023), Austin, TX.

• Mahshid Hosseini and Cornelia Caragea. (2023). Feature Normalization and Cartography-based Demonstrations for Prompt-based Fine-tuning on Emotion-related Tasks. In: Proceedings of The Association for the Advancement of Artificial Intelligence (AAAI 2023), Washington, DC.

• Mobashir Sadat and Cornelia Caragea. (2022). “Hierarchical Multi-Label Classification of Scientific Documents.” In: Proceedings of The 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP 2022), Abu Dhabi.

• Mahshid Hosseini and Cornelia Caragea. (2022). “Calibrating Student Models for Emotion-related Tasks.” In: Proceedings of The 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP 2022), Abu Dhabi.

• Hongli Zhan, Tiberiu Sosea, Cornelia Caragea, and Junyi Jessy Li. (2022) “Why Do You Feel This Way? Summarizing Triggers of Emotions in Social Media Posts.” In: Proceedings of The 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP 2022), Abu Dhabi.

• Mobashir Sadat and Cornelia Caragea. (2022). “Learning to Infer from Unlabeled Data: A Semi-supervised Learning Approach for Robust Natural Language Inference.” In: Proceedings of The 2022 Conference on Empirical Methods in Natural Language Processing: Findings (EMNLP Findings 2022), Abu Dhabi.

• Tiberiu Sosea and Cornelia Caragea. (2022). “Leveraging Training Dynamics and Self-Training for Text Classification.” In: Proceedings of The 2022 Conference on Empirical Methods in Natural Language Processing: Findings (EMNLP Findings 2022), Abu Dhabi.

• Jishnu Ray Chowdhury, Seoyeon Park, Tuhin Kundu, and Cornelia Caragea. (2022) “KPDrop: Improving Absent Keyphrase Generation.” In: Proceedings of The 2022 Conference on Empirical Methods in Natural Language Processing: Findings (EMNLP Findings 2022), Abu Dhabi.

• Krishna Garg, Jishnu Ray Chowdhury, and Cornelia Caragea. (2022) “Keyphrase Generation Beyond the Boundaries of Title and Abstract.” In: Proceedings of The 2022 Conference on Empirical Methods in Natural Language Processing: Findings (EMNLP Findings 2022), Abu Dhabi.

• Seo Yeon Park and Cornelia Caragea. (2022). "On the Calibration of Pre-trained Language Models using Mixup Guided by Area Under the Margin and Saliency." In: Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (ACL 2022). Dublin, Ireland. [pdf]

• Mobashir Sadat and Cornelia Caragea. (2022). "SciNLI: A Corpus for Natural Language Inference on Scientific Text." In: Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (ACL 2022). Dublin, Ireland. [pdf]

• Jishnu Ray Chowdhury and Cornelia Caragea. (2021). “Modeling Hierarchical Structures with Continuous Recursive Neural Networks.” In: Proceedings of The Thirty-eighth International Conference on Machine Learning (ICML 2021), Online.

• Tiberiu Sosea and Cornelia Caragea. (2021). “eMLM: A New Pre-training Objective for Emotion Related Tasks.” In: Proceedings of The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP 2021), Online.

• Yingjie Li and Cornelia Caragea. (2021). “Target-Aware Data Augmentation for Stance Detection.” In: Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL 2021), Online.

• Mahshid Hosseini and Cornelia Caragea. “It Takes Two to Empathize: One to Seek and One to Provide.” In: Proceedings of the AAAI Conference on Artificial Intelligence (AAAI 2021), Online, February 2021.

• Tiberiu Sosea and Cornelia Caragea. “CancerEmo: A Dataset for Fine-Grained Emotion Detection.” In: Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP 2020), Virtual conference, November 2020.

• Seo Yeon Park and Cornelia Caragea. “Scientific Keyphrase Identification and Classification by Pre-Trained Language Models Intermediate Task Transfer Learning.” In: Proceedings of the 28th International Conference on Computational Linguistics (COLING 2020), Barcelona, Spain, December 2020. [

• Jishnu Ray Chowdhury, Cornelia Caragea, Doina Caragea. "On Identifying Hashtags in Disaster Twitter Data." In: Proceedings of the 34th American Association for Artificial Intelligence (AAAI 2020), New York, USA, 2020.

• Yingjie Li and Cornelia Caragea. "Multi-Task Stance Detection with Sentiment and Stance Lexicons." In: Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing (EMNLP 2019), Hong Kong, 2019.

• Cornelia Caragea, Ana Sabina Uban, and Liviu P. Dinu. "The Myth of Double-Blind Review Revisited: ACL vs. EMNLP." In: Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing (EMNLP 2019), Hong Kong, 2019.

• Corina Florescu and Cornelia Caragea. "PositionRank: An Unsupervised Approach to Keyphrase Extraction from Scholarly Documents." In: Proceedings of the Annual Meeting of the Association for Computational Linguistics (ACL 2017), Vancouver, Canada, 2017.

• Cornelia Caragea, Florin Bulgarov, and Rada Mihalcea. "Co-Training for Topic Classification of Scholarly Data." In: Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP 2015), Lisbon, Portugal, 2015.

• Cornelia Caragea, Florin Bulgarov, Andreea Godea, and Sujatha Das Gollapalli. "Citation-Enhanced Keyphrase Extraction from Research Papers: A Supervised Approach." In: Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP 2014), Doha, Qatar, 2014.

• Cornelia Caragea, Adrian Silvescu, and Prasenjit Mitra. "Combining Hashing and Abstraction in Sparse High Dimensional Feature Spaces." In: Proceedings of the American Association for Artificial Intelligence (AAAI 2012), Toronto, Ontario, Canada, 2012.