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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

2023

• 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.

• 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.

• 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.

• 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.

• Shweta Yadav, Stefan Cobeli, and Cornelia Caragea. (2023) "Towards Understanding Consumer Healthcare Questions on the Web with Semantically Enhanced Contrastive Learning." In: Proceedings of The Web Conference (WWW 2023), Austin, TX.

• Nikita Gautam, David Shumway, Megan Kowalcyk, Sarthak Khanal, Doina Caragea, Cornelia Caragea, Hande McGinty, Samuel Dorevitch. (2023). "Leveraging Existing Literature on the Web and Deep Neural Models to Construct a Knowledge Graph Focused on Water Quality and Health Risks." In: Proceedings of The Web4Good Special Track at The Web Conference 2023 (Web4Good), 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.

• George Maratos, Tiberiu Sosea, and Cornelia Caragea. (2023). "Label Smoothing for Emotion Detection." In: Proceedings of The Association for the Advancement of Artificial Intelligence (AAAI 2023), Washington, DC.

• Henry Peng Zou, Yue Zhou, Cornelia Caragea, and Doina Caragea. (2023). "Semi-Supervised Few-Shot Learning for Fine-Grained Disaster Tweet Classification." In: Proceedings of The 20th Annual Global Conference on Information Systems for Crisis Response and Management (ISCRAM 2023), Omaha Nebraska.

• Mina Valizadeh, Xing XQ Qian, Pardis Ranjbar-Noiey, Cornelia Caragea and Natalie Parde (2023) "What Clued the AI Doctor In? On the Influence of Data Source and Quality for Transformer-Based Medical Self-Disclosure Detection." In: Proceedings of The 17th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2023), Dubrovnik, Croatia.

2022

• 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, Seo Yeon 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.

• Iustin Sirbu, Tiberiu Sosea, Cornelia Caragea, Doina Caragea, and Traian Rebedea. (2022). “Multimodal Semi-supervised Learning for Disaster Tweet Classification.” In: Proceedings of The29thh International Conference on Computational Linguistics (COLING 2022), Gyeongju, Republic of Korea.

• Shweta Yadav and Cornelia Caragea. (2022). “Towards Summarizing Healthcare Questions in Low-Resource Setting.” In: Proceedings of The29thh International Conference on Computational Linguistics (COLING 2022), Gyeongju, Republic of Korea.

• Paul Landes, Kunal Patel, Sean S. Huang, Adam Webb, Barbara Di Eugenio, and Cornelia Caragea. (2022). “A New Public Corpus for Clinical Section Identification: MedSecId.” In: Proceedings of The29thh International Conference on Computational Linguistics (COLING 2022), Gyeongju, Republic of Korea.

• Seo Yeon Park and Cornelia Caragea. (2022). "A Data Cartography based MixUp for Pre-trained Language Models." In: Proceedings of the 2022 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL 2022). Seattle, Washington. [pdf]

• 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]

• Tiberiu Sosea and Cornelia Caragea (2022). "EnsyNet: A Dataset for Encouragement and Sympathy Detection." In: Proceedings of the 13th Language Resources and Evaluation Conference (LREC 2022). Marseille, France. [pdf]

• Tiberiu Sosea, Chau Thi Minh Pham, Alexander Tekle, Cornelia Caragea, and Junyi Jessy Li. (2022). "Emotion analysis and detection during COVID-19." In: Proceedings of the 13th Language Resources and Evaluation Conference (LREC 2022). Marseille, France. [pdf]

• Stefan Cobeli, Ioan-Bogdan Iordache, Shweta Yadav, Cornelia Caragea, Liviu P. Dinu, and Dragos Iliescu. (2022). "Detecting Optimism in Tweets using Knowledge Distillation and Linguistic Analysis of Optimism." In: Proceedings of the 13th Language Resources and Evaluation Conference (LREC 2022). Marseille, France. [pdf]

• Chenye Zhao, Jasmine Mangat, Sujay Koujalgi, Anna Squicciarini, and Cornelia Caragea. (2022). "PrivacyAlert: A Dataset for Image Privacy Prediction." In: Proceedings of the Sixteenth International AAAI Conference on Web and Social Media (ICWSM 2022). Atlanta, Georgia. [pdf]

• Edoardo Savini and Cornelia Caragea. (2022). "Intermediate-Task Transfer Learning with BERT for Sarcasm Detection." Mathematics 2022, Special Issue on Natural Language Processing (NLP) and Machine Learning (ML) - Theory and Applications. [pdf]

2021

• 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. [pdf]

• Yingjie Li, Chenye Zhao, and Cornelia Caragea. (2021). "Improving Stance Detection with Multi-Dataset Learning and Knowledge Distillation.” In: Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP 2021), Online. [pdf]

• Mahshid Hosseini and Cornelia Caragea. (2021). "Distilling Knowledge for Empathy Detection." In: Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing: Findings (EMNLP Findings 2021), Online. [pdf]

• Chenye Zhao and Cornelia Caragea. (2021). "Knowledge Distillation with BERT for Image Tag-Based Privacy Prediction."" In: Proceedings of the Conference on Recent Advances in Natural Language Processing (RANLP 2021), Online. Won Best Student Paper Award. [pdf]

• 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. [pdf]

• Kyle Glandt, Sarthak Khanal, Yingjie Li, Doina Caragea, and Cornelia Caragea. (2021). “Stance Detection in COVID-19 Tweets.” 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. [pdf]

• Yingjie Li, Tiberiu Sosea, Aditya Sawant, Ajith Jayaraman Nair, Diana Inkpen, and Cornelia Caragea.(2021). “P-Stance: A Large Dataset for Stance Detection in Political Domain.” 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: Findings (ACL-IJCNLP Findings 2021), Online. [pdf]

• Yingjie Li and Cornelia Caragea. (2021). “A Multi-Task Learning Framework for Multi-Target Stance Detection.” 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: Findings (ACL-IJCNLP Findings 2021), Online. [pdf]

• Ana Sabina Uban, Cornelia Caragea, and Liviu Dinu. (2021). “Studying the Evolution of ScientificTopics and their Relationships.” 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: Findings (ACL-IJCNLP Findings 2021), Online. [pdf]

• 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. [pdf]

• Mina Valizadeh, Pardis Ranjbar-Noiey, Cornelia Caragea, and Natalie Parde. (2021). “Identifying Medical Self-Disclosure in Online Communities.” In:Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL 2021), Online. [pdf]

• 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. [pdf]

• Krutarth Patel, Cornelia Caragea, Doina Caragea, and C. Lee Giles. “Author Homepage Discovery in CiteSeerX.” In: Proceedings of the AAAI Conference on Artificial Intelligence (AAAI 2021), Online, February 2021. [pdf]

• Krutarth Patel and Cornelia Caragea. “Exploiting Position and Contextual Word Embeddings to Identify Descriptive Phrases in Scientific Papers.” In: Proceedings of the 2021 Conference of the European Chapter of the Association for Computational Linguistics (EACL 2021), Kiev, Ukraine, April 19-23, 2021. [pdf]

• Tiberiu Sosea, Iustin Sarbu, Cornelia Caragea, Doina Caragea, and Traian Rebedea. (2021). “Using the Image-Text Relationship to Improve Multimodal Disaster Tweet Classification.” In: Proceedings of The 18th International Conference on Information Systems for Crisis Response and Management (ISCRAM 2021), Online. [pdf]

• Hongmin Li, Doina Caragea and Cornelia Caragea. (2021). “Combining Self-training with DeepLearning for Disaster Tweet Classification .” In: Proceedings of The 18th International Conference on Information Systems for Crisis Response and Management (ISCRAM 2021), Online. [pdf]

2020

• 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. [pdf]

• 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. [pdf]

• Shrey Desai, Cornelia Caragea, Junyi Jessy Li. "Detecting Perceived Emotions in Hurricane Disasters." In: Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics (ACL 2020), 2020. [pdf]

• Jishnu Ray Chowdhury, Cornelia Caragea, Doina Caragea. "Cross-Lingual Disaster-related Multi-label Tweet Classification with Manifold Mixup." In: Proceedings of the 2020 ACL Student Research Workshop (ACL SRW 2020), 2020. [pdf]

• 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. [pdf]

• Edoardo Savini and Cornelia Caragea. "A Multi-Task Learning Approach to Sarcasm Detection." In: Proceedings of the 34th American Association for Artificial Intelligence (AAAI 2020), Student Abstract and Poster Program, New York, USA, 2020. [pdf]

• Gabriele Galfre and Cornelia Caragea. "Exploring Abstract Concepts for Image Privacy Prediction in Social Networks." In: Proceedings of the 34th American Association for Artificial Intelligence (AAAI 2020), Student Abstract and Poster Program, New York, USA, 2020. [pdf]

• Krutarth Patel, Cornelia Caragea, Mark Phillips. "Dynamic Classification in Web Archiving Collections." In: Proceedings of the 12th Language Resources and Evaluation Conference (LREC 2020), 2020. [pdf]

• Krutarth Patel, Cornelia Caragea, Mark Phillips, and Nathaniel Fox. "Identifying Documents In-Scope of a Collection from Web Archives." In: Proceedings of the ACM/IEEE Joint Conference on Digital Libraries (JCDL 2020), 2020. [pdf]

• Krutarth Patel, Cornelia Caragea, Jian Wu, and C. Lee Giles. "Keyphrase Extraction in Scholarly Digital Library Search Engines." In: Proceedings of the International Conference on Web Services (ICWS 2020), Honolulu, Hawaii, USA, August 2020. [pdf]

• Krutarth Patel, Cornelia Caragea, and Sujatha Das Gollapalli. “On the Use of Web Search to Improve Scientific Collections.” In: Proceedings of the 1st Workshop on Scholarly Document Processing (SDP 2020), held online in conjunction with the 2020 Conference on Empirical Methods in Natural Language Processing, November 2020. [pdf]

• Shaurya Rohatgi, Zeba Karishma, Jason Chhay, Sai Raghav Reddy Keesara, Jian Wu, Cornelia Caragea, and C. Lee Giles. “COVIDSeer: Extending the CORD-19 Dataset.” In: Proceedings of the 20th ACM Symposium on Document Engineering (DocEng 2020), San Jose, CA, USA, September 29, 2020 to October 1, 2020. [pdf]

• Ashwini Tonge and Cornelia Caragea. "Image Privacy Prediction Using Deep Neural Networks." In: ACM Transactions on the Web (ACM TWeb 2020), 2020. [pdf]

2019

• Ashwini Tonge and Cornelia Caragea. "Privacy-aware Tag Recommendation for Accurate Image Privacy Prediction." In: ACM Transactions on Intelligent Systems and Technology (ACM TIST 2019), 2019. [ACM DL link] [pdf]

• 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. [pdf]

• 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. [pdf]

• Krutarth Patel and Cornelia Caragea. "Exploring Word Embeddings in CRF-based Keyphrase Extraction from Research Papers." In: Proceedings of The 10th International Conference on Knowledge Capture (K-Cap 2019), Marina del Rey, California, USA, 2019.

• Mahnaz Roshanaei, Christopher Tran, Sylvia Morelli, Cornelia Caragea, and Elena Zheleva. "Paths to empathy: heterogeneous effects of reading personal stories online." In: Proceedings of The 6th IEEE International Conference on Data Science and Advanced Analytics (DSAA 2019), Washington DC, USA, 2019.

• Ashwini Tonge and Cornelia Caragea. "Dynamic Deep Multi-modal Fusion for Image Privacy Prediction." In: Proceedings of The Web Conference (WWW 2019), San Francisco, California, USA, 2019. [pdf]

• Rabah Al-Zaidy, Cornelia Caragea, and C. Lee Giles. "Bi-LSTM-CRF Sequence Labeling for Keyphrase Extraction from Scholarly Documents." In: Proceedings of The Web Conference (WWW 2019), San Francisco, California, USA, 2019. [pdf]

• Jishnu Ray Chowdhury, Cornelia Caragea, and Doina Caragea. "Keyphrase Extraction from Disaster-related Tweets." In: Proceedings of The Web Conference (WWW 2019), San Francisco, California, USA, 2019. [pdf]

• Yingjie Li, Seo Yeon Park, Cornelia Caragea, Doina Caragea, and Andrea Tapia. "Sympathy Detection in Disaster Twitter Data." In: Proceedings of the 16th International Conference on Information Systems for Crisis Response and Management (ISCRAM 2019), Valencia, Spain, 2019. [pdf]

• Xukun Li, Doina Caragea, Cornelia Caragea, Muhammad Imran, and Ferda Ofli. "Identifying Disaster Damage Images Using a Domain Adaptation Approach." In: Proceedings of the 16th International Conference on Information Systems for Crisis Response and Management (ISCRAM 2019), Valencia, Spain, 2019. [pdf]

• Jess Kropczynski, Rob Grace, Shane Halse, Doina Caragea, Cornelia Caragea, Andrea Tapia. "Refining a Coding Scheme to Identify Actionable Information on Social Media." In: Proceedings of the 16th International Conference on Information Systems for Crisis Response and Management (ISCRAM 2019), Valencia, Spain, 2019. [pdf]

• Ashwini Tonge and Cornelia Caragea. "Dynamically Fusing Deep Multi-modalities for Image Sharing." In: Proceedings of the 33rd American Association for Artificial Intelligence (AAAI 2019), Student Abstract and Poster Program, Honolulu, Hawaii, USA, 2019. [pdf]

• Athar Sefid, Jian Wu, Jing Zhao, Lu Liu, Cornelia Caragea, Prasenjit Mitra, C. Lee Giles. "Cleaning Noisy and Heterogeneous Metadata for Record Linking across Scholarly Big Datasets." In: Proceedings of the 31st Annual Conference on Innovative Applications of Artificial Intelligence (IAAI 2019), Honolulu, Hawaii, USA, 2019. [pdf]

• Mark Phillips, Cornelia Caragea, Krutarth Patel, and Nathan Fox. "Leveraging Machine Learning to Extract Content-Rich Publications from Web Archives." In: The 2019 International Internet Preservation Consortium (IIPC) Web Archiving Conference (WAC 2019), Zagreb, Croatia, 2019. [pdf]

• Mark Phillips, Cornelia Caragea, Krutarth Patel, and Nathan Fox. "Increasing Access to Content-Rich Publications from Web Archives with Machine Learning Models." In: The 2019 Texas Conference on Digital Libraries (TCDL 2019), Austin, Texas, USA 2019. [pdf]

2018

• HongMin Li, Xukun Li, Doina Caragea, and Cornelia Caragea. "Comparison of Word Embeddings and Sentence Encodings as Generalized Representations for Crisis Tweet Classification Tasks." In: Proceedings of the ISCRAM Asian Pacific 2018 Conference (ISCRAM Asian Pacific 2018), Wellington, New Zealand, 2018. [pdf]

• Cornelia Caragea, Liviu P. Dinu, and Bogdan Dumitru. "Exploring Optimism and Pessimism in Twitter Using Deep Learning." In: Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing (EMNLP 2018), Brussels, Belgium, 2018. [pdf]

• Hamed Khanpour and Cornelia Caragea. "Fine-Grained Emotion Detection in Health-Related Online Posts." In: Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing (EMNLP 2018), Brussels, Belgium, 2018. [pdf]

• Cornelia Caragea and Corina Florescu. "Venue Classification of Research Papers in Scholarly Digital Libraries." In: Proceedings of the 22nd International Conference on Theory and Practice of Digital Libraries (TPDL 2018), Porto, Portugal, 2018. [pdf]

• Hamed Khanpour and Cornelia Caragea. "Fine-Grained Information Identification in Health Related Posts." In: Proceedings of the 41st International ACM SIGIR Conference on Research and Development in Information Retrieval (ACM SIGIR 2018), Ann Arbor, Michigan, USA, 2018. [pdf]

• Ashwini Tonge, Cornelia Caragea, and Anna Squicciarini. "Privacy-Aware Tag Recommendation for Image Sharing." In: Proceedings of the 29th ACM Conference on Hypertext and Social Media (ACM HT 2018), Baltimore, Maryland, USA, 2018. [pdf]

• Gilad Katz, Cornelia Caragea, and Asaf Shabtai. "Vertical Ensemble Co-Training for Text Classification." In: ACM Transactions on Intelligent Systems and Technology (ACM TIST 2018), 2018. [ACM DL link] [pdf]

• Ashwini Tonge and Cornelia Caragea. "On the Use of “Deep” Features for Online Image Sharing." In: Proceedings of 9th International Workshop on Modeling Social Media (MSM 2018): Applying Machine Learning and AI for Modeling Social Media (MSM 2018), Lyon, France, 2018. [pdf]

• Kishore Neppalli, Cornelia Caragea, Doina Caragea. "Deep Neural Networks versus Naive Bayes Classifiers for Identifying Informative Tweets during Disasters." In: Proceedings of the 15th International Conference on Information Systems for Crisis Response and Management (ISCRAM 2018), Rochester NY, USA, 2018. [pdf]

• Reza Mazloom, HongMin Li, Doina Caragea, Muhammad Imran, Cornelia Caragea. " Classification of Twitter Disaster Data Using a Hybrid Feature-Instance Adaptation Approach." In: Proceedings of the 15th International Conference on Information Systems for Crisis Response and Management (ISCRAM 2018), Rochester NY, USA, 2018. [pdf]

• Ashwini Tonge, Cornelia Caragea, and Anna Squicciarini. "Uncovering Scene Context for Predicting Privacy of Online Shared Images." In: Proceedings of the 32nd American Association for Artificial Intelligence (AAAI 2018), Student Abstract and Poster Program, New Orleans, Louisiana, USA, 2018. [pdf]

• Hamed Khanpour, Cornelia Caragea, and Prakhar Biyani. "Identifying Emotional Support in Online Health Communities." In: Proceedings of the 32nd American Association for Artificial Intelligence (AAAI 2018), Student Abstract and Poster Program, New Orleans, Louisiana, USA, 2018. [pdf]

2017

• Hamed Khanpour, Cornelia Caragea, and Prakhar Biyani. "Identifying Empathetic Messages in Online Health Communities." In: Proceedings of the 8th International Joint Conference on Natural Language Processing (IJCNLP 2017), Taipei, Taiwan, 2017. [pdf]

• Anna Squicciarini, Andrea Novelli, Dan Lin, Cornelia Caragea, and Haoti Zhong. "From Tag to Protect: A Tag-Driven Policy Recommender System for Image Sharing." In: Proceedings of the 15th International Conference on Privacy, Security and Trust (PST 2017), Calgary, Alberta, Canada, 2017. [pdf]

• 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. [pdf]

• Haoti Zhong, Anna Squicciarini, David Miller, and Cornelia Caragea. "A Group-Based Personalized Model for Image Privacy Classification and Labeling." In: Proceedings of the 26th International Joint Conference on Artificial Intelligence (IJCAI 2017), Melbourne, Australia, 2017. [pdf]

• HongMin Li, Doina Caragea, and Cornelia Caragea. "Towards Practical Usage of Domain Adaptation Algorithms in Classifying Disaster Related Tweets." In: Proceedings of the 14th International Conference on Information Systems for Crisis Response and Management (ISCRAM 2017), Albi, France, 2017. [ISCRAM-17 link] [pdf]

• Kishore Neppalli, Cornelia Caragea, Doina Caragea, Murilo Cerqueira Medeiros, Andrea Tapia, Shane Halse. "Predicting Tweet Retweetability during Hurricane Disasters." In: International Journal of Information Systems for Crisis Response and Management (IJISCRAM 2017), 2017. [article] [pdf]

• Kishore Neppalli, Cornelia Caragea, Anna Squicciarini, Andrea Tapia, and Sam Stehle. "Sentiment Analysis during Hurricane Sandy in Emergency Response." In: The International Journal of Disaster Risk Reduction (IJDRR 2017), 2017. [article] [pdf]

• HongMin Li, Doina Caragea, Cornelia Caragea, and Nic Herndon (2017). "Disaster Response Aided by Tweet Classification with a Domain Adaptation Approach." In: Journal of Contingencies and Crisis Management (JCCM), Special Issue on HCI in Critical Systems, 2017. In press. [pdf]

• Corina Florescu and Cornelia Caragea. "A Position-Biased PageRank Algorithm for Keyphrase Extraction." In: Proceedings of the 31st American Association for Artificial Intelligence (AAAI 2017), Student Abstract and Poster Program (SA-17), San Francisco, California, USA, 2017. [pdf] [poster]

• Corina Florescu and Cornelia Caragea. "A New Scheme for Scoring Phrases in Unsupervised Keyphrase Extraction." In: Proceedings of the 39th European Conference on Information Retrieval (ECIR 2017), Aberdeen, Scotland, UK, 2017. [pdf]

• Anna Squicciarini, Cornelia Caragea, and Rahul Balakavi. "Toward Automated Online Photo Privacy." In: ACM Transactions on the Web (ACM TWeb 2017), 2017. [ACM DL link] [pdf]

• Shane Halse, Andrea H. Tapia, Anna Squicciarini, and Cornelia Caragea. "An Emotional Step Towards Automated Trust Detection in Crisis Social Media." In: Information, Communication & Society, 2017. [article]

• Nicolas LaLone, Andrea Tapia, Christopher Zobel, Cornelia Caragea, Venkata Kishore Neppalli, and Shane Halse. "Embracing human noise as resilience indicator: twitter as power grid correlate." In: Sustainable and Resilient Infrastructure Journal, 2017. [article]

• Kash Barker, James H. Lambert, Christopher W. Zobel, Andrea H. Tapia, Jose E. Ramirez-Marquez, Laura Albert McLay, Charles Nicholson, Cornelia Caragea. "Defining Resilience Analytics for Interdependent Cyber-Physical-Social Networks." Sustainable and Resilient Infrastructure Journal, 2017. [article]

2016

• Cornelia Caragea. "Identifying Descriptive Keyphrases from Scholarly Big Data." In: The Workshop “Artificial Intelligence for Data Science,” Co-located with the Neural Information Processing Systems Conference (AI4DataSci), Barcelona, Spain, 2016. [pdf]

• Corina Florescu and Cornelia Caragea. "An Unsupervised Algorithm for Keyphrase Extraction." In: The Workshop for Women in Machine Learning, Co-located with the Neural Information Processing Systems Conference (WiML 2016), Barcelona, Spain, 2016. [pdf]

• Ashwini Tonge and Cornelia Caragea. "DeepPrivate: Accurate Prediction of Images' Privacy on the Web." In: The Workshop for Women in Machine Learning, Co-located with the Neural Information Processing Systems Conference (WiML 2016), Barcelona, Spain, 2016. [pdf]

• Lucas Sterckx, Cornelia Caragea, Thomas Demeester, and Chris Develder. "Supervised Keyphrase Extraction as Positive Unlabeled Learning." In: Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP 2016), Austin, Texas, USA, 2016. [pdf]

• Ashwini Tonge and Cornelia Caragea. "Image Privacy Prediction Using Deep Features." In: Proceedings of the 30th American Association for Artificial Intelligence (AAAI 2016), Student Abstract and Poster Program, Phoenix, Arizona, USA, 2016. (Using supervised machine learning approaches based on convolutional neural networks to improve privacy prediction of images uploaded on social networking sites.) [pdf] [poster] [poster spotlight]

• Haoti Zhong, Hao Li, Anna Squicciarini, Sarah Rajtmajer, Christopher Griffin, David Miller and Cornelia Caragea. "Content-driven Detection of Cyberbullying on the Instagram Social Network." In: Proceedings of the 25th International Joint Conference on Artificial Intelligence (IJCAI 2016), New York City, USA, 2016. [pdf]

• Cornelia Caragea, Jian Wu, Sujatha Das Gollapalli, and C. Lee Giles. "Document Type Classification in Online Digital Libraries." In: Proceedings of the Twenty-Eighth Annual Conference on Innovative Applications of Artificial Intelligence (IAAI 2016), Phoenix, AZ, USA, 2016. [pdf] [slides]

• Kishore Neppalli, Cornelia Caragea, Rob Mayes, Kim Nimon, and Fred Oswald. "MetaSeer.STEM: Towards Automating Meta-Analyses." In: Proceedings of the Twenty-Eighth Annual Conference on Innovative Applications of Artificial Intelligence (IAAI 2016), Phoenix, AZ, USA, 2016. [pdf]

• Cornelia Caragea, Adrian Silvescu, and Andrea Tapia. "Identifying Informative Messages in Disasters using Convolutional Neural Networks." In: Proceedings of the 13th International Conference on Information Systems for Crisis Response and Management (ISCRAM 2016), Rio de Janeiro, Brazil, 2016. [pdf]

• Kishore Neppalli, Murilo Cerqueira Medeiros, Cornelia Caragea, Doina Caragea, Andrea Tapia, Shane Halse. "Retweetability Analysis and Prediction during Hurricane Sandy." In: Proceedings of the 13th International Conference on Information Systems for Crisis Response and Management (ISCRAM 2016), Rio de Janeiro, Brazil, 2016. [pdf]

• Shane Halse, Andrea Tapia, Anna Squicciarini, Cornelia Caragea. "An Emotional Step Towards Automated Trust Detection in Crisis Social Media." In: Proceedings of the 13th International Conference on Information Systems for Crisis Response and Management (ISCRAM 2016), Rio de Janeiro, Brazil, 2016. [pdf]

• Shane Halse, Andrea Tapia, Anna Squicciarini, Cornelia Caragea. "Tweet Factors Influencing Trust and Usefulness During Both Man-Made and Natural Disasters." In: Proceedings of the 13th International Conference on Information Systems for Crisis Response and Management (ISCRAM 2016), Rio de Janeiro, Brazil, 2016. [pdf]

• Sujatha Das Gollapalli, Krutarth Patel, and Cornelia Caragea. "A Search/Crawl Framework for Automatically Acquiring Scientific Documents." CoRR, 2016. [pdf] [arXiv]

2015

• Ashwini Tonge and Cornelia Caragea. "Privacy Prediction of Images Shared on Social Media Sites Using Deep Features." CoRR, 2015. (Using supervised machine learning approaches based on convolutional neural networks to improve privacy prediction of images uploaded on social networking sites.) [pdf] [arXiv]

• Jian Wu, Kyle Williams, Hung-Hsuan Chen, Madian Khabsa, Cornelia Caragea, Suppawong Tuarob, Alexander Ororbia, Douglas Jordan, Prasenjit Mitra and C. Lee Giles. "CiteSeerX: AI in a Digital Library Search Engine." Artificial Intelligence Magazine (AI Magazine), 36(3): 35-48, 2015.

• 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. [pdf]

• Jian Wu, Jason Killian, Huaiyu Yang, Kyle Williams, Sagnik Ray Choudhury, Suppawong Tuarob, Cornelia Caragea, C. Lee Giles. "PDFMEF: A Multi-Entity Knowledge Extraction Framework for Scholarly Documents and Semantic Search." In: Proceedings of the 8th International Conference on Knowledge Capture (K-Cap 2015), Palisades, NY, USA, 2015.

• Sujatha Das Gollapalli, Cornelia Caragea, Prasenjit Mitra and C. Lee Giles. "Improving Researcher Homepage Classification with Unlabeled Data." In: ACM Transactions on the Web (ACM TWeb), 2015. [ACM DL link] [pdf]

• Andreea Godea, Cornelia Caragea, Florin Bulgarov, Suhasini Ramisetty-Mikler. "An Analysis of Twitter Data on E-cigarette Sentiments and Promotion." In: Proceedings of the 15th Conference on Artificial Intelligence in Medicine, (AIME 2015), Pavia, Italy, 2015.[pdf]

• Florin Bulgarov and Cornelia Caragea. "A Comparison of Supervised Keyphrase Extraction Models." In: The International World Wide Web Conference (WWW 2015), Poster Program, Florence, Italy, 2015. [pdf]

• Nir Ofek, Lior Rokach, Cornelia Caragea, and John Yen. "The Importance of Pronouns to Sentiment Analysis: Online Cancer Survivor Network Case Study." In: The International World Wide Web Conference (WWW 2015), Poster Program, Florence, Italy, 2015. [pdf]

• Hongmin Li, Nicolais Guevara, Nic Herndon, Doina Caragea, Kishore Neppalli, Cornelia Caragea, Anna Squicciarini, Andrea H. Tapia. "Twitter Mining for Disaster Response: A Domain Adaptation Approach." In: Proceedings of the 12th International Conference on Information Systems for Crisis Response and Management, (ISCRAM 2015), Kristiansand, Norway, 2015. [pdf]

• Prakhar Biyani, Sumit Bhatia, Cornelia Caragea, Prasenjit Mitra. "Using Subjectivity Analysis to Improve Thread Retrieval in Online Forums." In: Proceedings of the 37th European Conference on Information Retrieval (ECIR 2015), Vienna, Austria, 2015. [pdf]

• Prakhar Biyani, Cornelia Caragea, Narayan Bhamidipati. "Entity-Specific Sentiment Classification of Yahoo News Comments." CoRR, 2015. [pdf][arXiv]

2014

• Sujatha Das Gollapalli, Cornelia Caragea, Xiaoli Li, and C. Lee Giles. Tutorial on "Document Analysis and Retrieval Tasks in Scientific Digital Libraries." In: Proceedings of the 8th Russian Summer School in Information Retrieval (RuSSIR 2014), Nizhny Novgorod, Russia, 2014. [pdf]

• Cornelia Caragea, Florin Bulgarov, Andreea Godea, and Sujatha Das Gollapalli. "Citation-Enhanced Keyphrase Extraction from Research Papers: A Supervised Approach." (Using citation contexts in a supervised approach to improve keyphrase extraction.) In: Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP 2014), Doha, Qatar, 2014. [abstract] [pdf] [link to project website]

• Sujatha Das Gollapalli and Cornelia Caragea. "Extracting Keyphrases from Research Papers using Citation Networks." (Using citation contexts in an unsupervised approach to improve keyphrase extraction.) In: Proceedings of the 28th American Association for Artificial Intelligence (AAAI 2014), Quebec City, Quebec, Canada, 2014. Full Oral Presentation. [abstract] [pdf]

• Brenda Reyes Ayala and Cornelia Caragea. "Towards Building a Collection of Web Archiving Research Articles." In: The 2014 Annual Meeting of the Association for Information Science and Technology (ASIS&T 2014), Seattle, WA, USA. [pdf]

• Brandon Truong, Cornelia Caragea, Anna Squicciarini, Andrea H. Tapia. "Extracting Valuable Information from Twitter During Natural Disasters." In: The 2014 Annual Meeting of the Association for Information Science and Technology (ASIS&T 2014), Seattle, WA, USA. [pdf]

• Amanda Karavolia, Dimitrios Vogiatzis, Brandon Truong, Andrea H. Tapia, Cornelia Caragea, Anna Squicciarini and Georgios Paliouras. "Tweet Type, Location and Popularity: Case Study Hurricane Sandy." In: The 2014 KDD Workshop on Learning about Emergencies from Social Information, co-located with Knowledge Discovery and Data Mining 2014 (KDD-LESI 2014), New York City, USA. [pdf]

• Anna Squicciarini, Cornelia Caragea, and Rahul Balakavi. "Analysing Images' Privacy for the Modern Web." In: Proceedings of the 25th ACM Conference on Hypertext and Social Media (HT 2014), Santiago, Chile, 2014. [pdf]

• Prakhar Biyani, Cornelia Caragea, Prasenjit Mitra, and John Yen. "Identifying Emotional and Informational Support in Online Health Communities." In: Proceedings of the 25th International Conference on Computational Linguistics (Coling 2014), Dublin, Ireland, 2014. [pdf]

• Jian Wu, Kyle Williams, Hung-Hsuan Chen, Madian Khabsa, Cornelia Caragea, Alexander Ororbia, Douglas Jordan, and C. Lee Giles. "CiteSeerX: AI in a Digital Library Search Engine." In: Proceedings of the 26th Annual Conference on Innovative Applications of Artificial Intelligence (IAAI 2014), co-located with AAAI 2014, Quebec City, Quebec, Canada, 2014. [pdf]

• Prakhar Biyani, Sumit Bhatia, Cornelia Caragea and Prasenjit Mitra. "Using Non-lexical Features For Identifying Factual and Opinionative Threads in Online Forums." Elsevier Knowledge-Based Systems, 2014. [pdf]

• Siddhartha Banerjee, Cornelia Caragea, and Prasenjit Mitra. "Supervised Identification of Play Scripts and Automatic Wikipedia Play Article Generation." In: Proceedings of the 22nd International Conference on Pattern Recognition (ICPR 2014), Stockholm, Sweden, 2014. [pdf]

• Cornelia Caragea, Jian Wu, Alina Ciobanu, Kyle Williams, Juan Fernandez-Ramirez, Hung-Hsuan Chen, Zhaohui Wu, and C. Lee Giles. “CiteSeerX: A Scholarly Big Dataset.” In: Proceedings of the 36th European Conference on Information Retrieval (ECIR 2014), Amsterdam, Netherlands, 2014. [pdf] [link to project website]

• Cornelia Caragea, Jian Wu, Kyle Williams, Sujatha Das Gollapalli, Madian Khabsa, Pradeep Teregowda, and C. Lee Giles. “Automatic Identification of Research Articles from Crawled Documents.” In: Proceedings of the Workshop: Web-Scale Classification: Classifying Big Data from the Web, co-located with WSDM (WSC 2014), New York City, 2014. [pdf]

• Cornelia Caragea, Anna Squicciarini, Sam Stehle, Kishore Neppalli, Andrea H. Tapia. "Mapping Moods: Geo-Mapped Sentiment Analysis During Hurricane Sandy." In: Proceedings of the 11th International Conference on Information Systems for Crisis Response and Management (ISCRAM 2014), University Park, Pennsylvania, USA, 2014. [pdf] [link to project website]

• Shibamouli Lahiri, Sagnik Ray Choudhury, and Cornelia Caragea. "Keyword and Keyphrase Extraction Using Centrality Measures on Collocation Networks." (Using network centrality measures to extract keywords and keyphrases in documents.) CoRR, 2014. [pdf][arXiv]

• Brenda Reyes and Cornelia Caragea. "Towards Building a Collection of Web Archiving Research Articles." In: International Internet Preservation Consortium (IIPC 2014), Paris, France, 2014.

• Fred Oswald, Cornelia Caragea, and Kim Nimon. "Technology-enhanced meta-analysis across scientific disciplines." In: The 29th Annual Conference of the Society for Industrial and Organizational Psychology (SIOP 2014), Hawaii, 2014.

2013

• Prakhar Biyani, Cornelia Caragea, Prasenjit Mitra, Chong Zhou, John Yen, Greta E. Greer, Kenneth Portier. "Co-training over Domain-independent and Domain-dependent Features for Sentiment Analysis of an Online Cancer Support Community." In: The 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2013), Niagara Falls, Canada, 2013. [pdf]

• Cornelia Caragea, Adrian Silvescu, Prasenjit Mitra, and C. Lee Giles. "Can't see the forest for the trees? A citation recommendation system." In: Proceedings of The ACM/IEEE Joint Conference on Digital Libraries (JCDL 2013), Indianapolis, Indiana, USA, 2013. [pdf][data]

• Sujatha Das Gollapalli, Cornelia Caragea, Prasenjit Mitra, and C. Lee Giles. "Researcher Homepage Classification using Unlabeled Data." In: Proceedings of the 22nd International World Wide Web Conference (WWW 2013), Rio de Janeiro, Brazil, 2013. [pdf]

• Prakhar Biyani, Cornelia Caragea, and Prasenjit Mitra. "Predicting Subjectivity Orientation of Online Discussion Threads." In: Proceedings of the 14th International Conference on Intelligent Text Processing and Computational Linguistics (CICLing 2013), Samos, Greece, 2013. [pdf]

• Nir Ofek, Cornelia Caragea, Lior Rokach, Prakhar Biyani, Prasenjit Mitra, John Yen, Kenneth Portier, and Greta E. Greer. "Improving Sentiment Analysis in an Online Cancer Survivor Community Using Dynamic Sentiment Lexicon." In: Proceedings of the International Conference on Social Intelligence and Technology (SOCIETY 2013), State College, PA, USA, 2013. [pdf]

• Nir Ofek, Cornelia Caragea, Lior Rokach, Prakhar Biyani, Prasenjit Mitra, John Yen, Kenneth Portier, Greta Greer. "Im- proving Sentiment Analysis in an Online Cancer Survivor Community Using Dynamic Sentiment Lexicon." In: The 1st International Workshop on Public Health in the Digital Age: Social Media, Crowdsourcing and Participatory Systems (PHDA 2013), held in conjunction with the 22nd Inter- national World Wide Web Conference (WWW 2013).

• Carmen Boje and Cornelia Caragea. "Multivariate Statistical Analysis to Assess Student Performance." New Mexico Higher Education Assessment and Retention Conference, Poster Program, Albuquerque, NM, USA (NMHEAR 2013).

• Cornelia Caragea, Adrian Silvescu, Prasenjit Mitra, and C. Lee Giles. "Can’t see the forest for the trees? A citation recommendation system." The iConference, Poster Program (iConference 2013), Dallas Fort Worth, TX, USA, 2013. [pdf] [poster]

• Kim Nimon, Cornelia Caragea, and Fred Oswald. "Meta-Scraping: Proposing Techniques to Support Meta-analyses." The iConference, Poster Program (iConference 2013), Dallas Fort Worth, TX, USA, 2013. [pdf] [poster]

2012

• Prakhar Biyani, Sumit Bhatia, Cornelia Caragea, and Prasenjit Mitra. "Thread Specific Features Are Helpful For Identifying Subjectivity Orientation of Online Forum Threads." In: Proceedings of the 24th International Conference on Computational Linguistics (COLING 2012), Mumbai, India, 2012. [pdf]

• Wenyi Huang, Saurabh Kataria, Cornelia Caragea, Prasenjit Mitra, C. Lee Giles, Lior Rokach, "Recommending Citations: Translating Papers into References." In: Proceedings of the 21st ACM International Conference on Information and Knowledge Management (CIKM 2012), Maui, Hawaii, 2012. [pdf]

• Prakhar Biyani, Cornelia Caragea, Amit K. Singh, Prasenjit Mitra. "I want what I need! Analyzing Subjectivity of Online Forum Threads." In: Proceedings of the 21st ACM International Conference on Information and Knowledge Management (CIKM 2012), Maui, Hawaii, 2012. [pdf]

• Sumit Bhatia, Cornelia Caragea, Hung-Hsuan Chen, Jian Wu, Pucktada Treeratpituk, Zhaohui Wu, Madian Khabsa, Prasenjit Mitra, and C. Lee Giles. "Specialized Research Datasets in the CiteSeerx Digital Library." D-Lib Magazine, July/Aug 2012, Volume 18, No. 7/8, 2012.

• Cornelia Caragea, Adrian Silvescu, and Prasenjit Mitra. "Protein Sequence Classification using Feature Hashing." Proteome Science, 2012. [pdf]

• Rasna Walia, Cornelia Caragea, Benjamin Lewis, Fadi Towfic, Michael Terribilini, Yasser El-Manzalawy, Drena Dobbs, and Vasant Honavar. "Protein-RNA Interface Residue Prediction Using Machine Learning: An Assessment of the State of the Art." BMC Bioinformatics, 2012. [pdf]

• Sumit Bhatia, Cornelia Caragea, Hung-Hsuan Chen, Jian Wu, Pucktada Treeratpituk, Zhaohui Wu, Madian Khabsa, Prasenjit Mitra, and C. Lee Giles. "Specialized Research Datasets in the CiteSeerx Digital Library." In: The 1st International Workshop on Mining Scientific Publications, Co-located with the Joint Conference on Digital Libraries (JCDL WS 2012), Washington, DC, USA, 2012.

• 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. [pdf]

2011

• Kang Zhao, Baojun Qiu, Cornelia Caragea, Dinghao Wu, Prasenjit Mitra, John Yen, Greta E. Greer, Kenneth Portier. "Identifying Leaders in an Online Cancer Survivor Community." In: Proceedings of the 21st Annual Workshop on Information Technologies and Systems (WITS 2011), Shanghai, China, 2011. [pdf]

• Cornelia Caragea, Adrian Silvescu, and Prasenjit Mitra. "Protein Sequence Classification Using Feature Hashing." In: Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine (BIBM 2011), Atlanta, GA, USA, 2011. [pdf]

• Baojun Qiu, Kang Zhao, Prasenjit Mitra, Dinghao Wu, Cornelia Caragea, John Yen, Greta E. Greer, Kenneth Portier. "Get Online Support, Feel Better-Sentiment Analysis and Dynamics in an Online Cancer Survivor Community." In: Proceedings of the Third IEEE International Conference on Social Computing (SocialCom 2011), Boston, Massachusetts, USA, 2011. [pdf]

• Cornelia Caragea, Adrian Silvescu, Saurabh Kataria, Doina Caragea, and Prasenjit Mitra. "Classifying Scientific Publications Using Abstract Features." In: Proceedings of the Symposium on Abstraction, Reformulation, and Approximation (SARA 2011), Parador de Cardona, Spain, 2011. [pdf]

• Saurabh Kataria, Prasenjit Mitra, Cornelia Caragea, and C. Lee Giles. "Context Sensitive Topic Models for Author Influence in Document Networks." In: Proceedings of the 22nd International Joint Conference on Artificial Intelligence (IJCAI 2011), Barcelona, Spain, 2011. [pdf]

• Sujatha Das, C. Lee Giles, Prasenjit Mitra, and Cornelia Caragea. "On Identifying Academic Homepages for Digital Libraries." In: Proceedings of the ACM/IEEE Joint Conference on Digital Libraries (JCDL 2011), Ottawa, Canada, 2011. [pdf]

• Cornelia Caragea, Nathan McNeese, Anuj Jaiswal, Greg Traylor, Hyun-Woo Kim, Prasenjit Mitra, Dinghao Wu, Andrea H. Tapia, C. Lee Giles, Bernard J. Jansen, John Yen. "Classifying Text Messages for the Haiti Earthquake." In: Proceedings of the 8th International Conference on Information Systems for Crisis Response and Management (ISCRAM 2011), Lisbon, Portugal, 2011. [pdf]

2010

• Cornelia Caragea, Adrian Silvescu, Doina Caragea, and Vasant Honavar. "Abstraction Augmented Markov Models." In: Proceedings of the 10th IEEE International Conference on Data Mining (ICDM 2010), Sydney, Australia, 2010. [pdf]

• Cornelia Caragea, Adrian Silvescu, Doina Caragea, and Vasant Honavar. "Semi-Supervised Sequence Classification Using Abstraction Augmented Markov Models." In: Proceedings of the ACM Conference on Bioinformatics and Computational Biology (ACM-BCB 2010), Niagara Falls, New York, USA, 2010. [pdf]

• Cornelia Caragea, Hyun-Woo Kim, Prasenjit Mitra, and John Yen. "Classifying Text Messages for Emergency Response." In Machine Learning for Social Computing Workshop, Co-located with Neural Information Processing Systems (NIPS WS 2010), Whistler, Canada, 2010. [pdf] [poster]

• Rasna Walia, Cornelia Caragea, Drena Dobbs, and Vasant Honavar. "Improving the State of the Art in Machine Learning Methods for Protein-RNA Interface Prediction." In: Workshop for Women in Machine Learning, Co-located with Neural Information Processing Systems (NIPS WS 2010), Vancouver, BC, Canada, 2010. [pdf]

• Cornelia Caragea, Doina Caragea, Adrian Silvescu, and Vasant Honavar. "Semi-Supervised Prediction of Protein Subcellular Localization Using Abstraction Augmented Markov Models." BMC Bioinformatics, Special Issue on Machine Learning in Computational Biology (MLCB 2010), 2010. [pdf]

2009

• "Abstraction-based Probabilistic Models for Sequence Classification." Ph.D. Thesis, Iowa State University, 2009. [pdf]

• Cornelia Caragea, Jivko Sinapov, Drena Dobbs, and Vasant Honavar. "Mixture of experts models to exploit global sequence similarity on biomolecular sequence labeling." BMC Bioinformatics, 2009, doi:10.1186/1471-2105-10-S4-S4. [pdf]

• Adrian Silvescu, Cornelia Caragea, and Vasant Honavar. "Combining Super-Structuring and Abstraction on Sequence Classification." In: Proceedings of the 9th IEEE International Conference on Data Mining (ICDM 2009), Miami, Florida, USA, 2009. [pdf]

• Cornelia Caragea, Doina Caragea, and Vasant Honavar. "Learning Link-Based Classifiers from Ontology-Extended Textual Data." In: Proceedings of the 21st International Conference on Tools with Artificial Intelligence (ICTAI 2009), Newark, New Jersey, USA, 2009. [pdf]

• Cornelia Caragea, Doina Caragea, and Vasant Honavar. "Learning Link-Based Naive Bayes Classifiers from Ontology-Extended Distributed Data." In: Proceedings of the 8th International Conference on Ontologies, DataBases, and Applications of Semantics (ODBASE 2009), Vilamoura, Algarve-Portugal, 2009. [pdf]

• Cornelia Caragea, Adrian Silvescu, Doina Caragea, and Vasant Honavar. "Abstraction Augmented Markov Models." In: Machine Learning in Computational Biology Workshop, Co-located with Neural Information Processing Systems (NIPS WS 2009), Whistler, Canada, 2009. [pdf] [talk]

• Cornelia Caragea, Adrian Silvescu, and Vasant Honavar. "Designing Abstract Features for Sequence Classification Tasks." In: Workshop for Women in Machine Learning, Co-located with Neural Information Processing Systems (NIPS WS 2009), Vancouver, BC, Canada, 2009. [pdf]

• Adrian Silvescu, Cornelia Caragea, and Vasant Honavar. "Combining Abstraction and Super-Structuring on Macromolecular Sequence Classication." The 13th Annual International Conference on Research in Computational Molecular Biology, Poster Program (RECOMB 2009), Tucson, AZ, USA, 2009. [pdf] [poster]

• Adrian Silvescu, Cornelia Caragea, and Vasant Honavar. "Predicting Protein Subcellular Localization Using Abstract Sequential Features." The 17th Annual International Conference on Intelligent Systems For Molecular Biology, Poster Program (ISMB 2009), Stockholm, Sweden, 2009. [pdf]

2008

• Fadi Towfic, Cornelia Caragea, David Gemperline, Drena Dobbs, and Vasant Honavar. "Struct-NB: Predicting protein-RNA binding sites using structural features." International Journal of Data Mining and Bioinformatics, 2008. [pdf]

• Neeraj Koul, Vikas Bahirwani, Cornelia Caragea, Doina Caragea, and Vasant Honavar. "Learning Classifiers from Large Databases Using Statistical Queries." In: Proceedings of the International Conference on Web Intelligence (WI 2008), Sydney, Australia, 2008. [pdf]

• Cornelia Caragea, Jivko Sinapov, Drena Dobbs, and Vasant Honavar. "Using Global Sequence Similarity to Enhance Biological Sequence Labeling." In: Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine (BIBM 2008), Philadelphia, Pennsylvania, USA, pp. 104-111, 2008. [pdf]

• Jae-Hyung Lee, Michael Hamilton, Colin Gleeson, Cornelia Caragea, Peter Zaback, Jeffry Sander, Xue Li, Feihong Wu, Michael Terribilini, Vasant Honavar, and Drena Dobbs. "Striking Similarities in Diverse Telomerase Proteins Revealed by Combining Structure Prediction and Machine Learning Approaches." In: Proceedings of the Pacific Symposium on Biocomputing (PSB 2008), The Big Island of Hawaii, Vol. 13., pp. 501-512, 2008. [pdf]

• Cornelia Caragea, and Vasant Honavar. "Machine Learning in Computational Biology." In: Encyclopedia of Database Systems, 2008. [pdf]

• Cornelia Caragea, Michael Terribilini, Jivko Sinapov, Jae-Hyung Lee, Fadi Towfic, Drena Dobbs, and Vasant Honavar. "Predicting Protein-RNA Binding Sites Using Structural Information." The 16th Annual International Conference On Intelligent Systems For Molecular Biology, Poster Program (ISMB 2008), Toronto, Canada, 2008. [pdf] [poster]

• Michael Terribilini, Cornelia Caragea, Deepak Reyon, Jeffry Sander, Jae-Hyung Lee, Robert Jernigan, Vasant Honavar, and Drena Dobbs. "Comparing Sequence and Structure-based Classifiers for Predicting RNA Binding Sites in Specific Families of RNA Binding Proteins." The 16th Annual International Conference On Intelligent Systems For Molecular Biology, Poster Program (ISMB 2008), Toronto, Canada, 2008. [pdf]

• Jivko Sinapov, Cornelia Caragea, Drena Dobbs, and Vasant Honavar. "Using Global Sequence Similarity Improves Biological Site-Specific Classifiers." The 16th Annual International Conference On Intelligent Systems For Molecular Biology, Poster Program (ISMB 2008), Toronto, Canada, 2008. [pdf] [poster]

2007

• Cornelia Caragea, Jivko Sinapov, Adrian Silvescu, Drena Dobbs, and Vasant Honavar. "Glycosylation site prediction using ensembles of Support Vector Machine classifiers." BMC Bioinformatics, 2007, 8:438. [pdf]

• Cornelia Caragea, Jivko Sinapov, Drena Dobbs, and Vasant Honavar. "Assessing the Performance of Macromolecular Sequence Classifiers." In: Proceedings of IEEE 7th International Conference on Bioinformatics and Bioengineering (BIBE 2007), Boston, Massachusetts, USA, pp. 320-326, 2007. [pdf]

• Fadi Towfic, David Gemperline, Cornelia Caragea, Feihong Wu, Drena Dobbs, and Vasant Honavar. "Structural Characterization of RNA-Binding Sites of Proteins: Preliminary Results." In: Computational Structural Bioinformatics Workshop, Co-located with the International Conference on Bioinformatics and Biomedicine (BIBM WS 2007), Silicon Valley, CA, USA, 2007. [pdf]

• Deepak Reyon, Benjamin Lewis, Jae-Hyung Lee, Colin Gleeson, Michael Hamilton, Cornelia Caragea, Fadi Towfic, Michael Terribilini, Vasant Honavar, and Drena Dobbs. "Combining Structural Modeling, Evolutionary Information, and Machine Learning to Improve Prediction of Nucleic Acid Binding Sites in Telomerase." The 5th Annual Rocky Mountain Bioinformatics Conference, Poster Program (Rocky 2007), Aspen/Snowmass, Colorado, USA, 2007.

• Michael Terribilini, Jeffry Sander, Cornelia Caragea, Jae-Hyung Lee, Robert Jernigan, Vasant Honavar, and Drena Dobbs. "Comparing Sequence vs. Structure-based Predictions of RNA Binding Sites in Proteins." The 1st Annual Midwest Symposium on Computational Biology and Bioinformatics, Chicago, Illinois, USA, 2007.

• Fadi Towfic, David Gemperline, Cornelia Caragea, Feihong Wu, Drena Dobbs, and Vasant Honavar. "Prediction of RNA-Protein Interfaces Using Structural Features." The 1st Annual Midwest Symposium on Computational Biology and Bioinformatics, Chicago, Illinois, USA, 2007. [poster]

• Colin Gleeson, Michael Hamilton, Jae-Hyung Lee, Cornelia Caragea, Vasant Honavar, and Drena Dobbs. "Generating Models as a Platform for Comparing Functional and Structural Elements of Telomerase." The 16th Annual Growth Factor and Signal Transduction Conferences, Ames, Iowa, USA, 2007. [poster]

• Cornelia Caragea, Jivko Sinapov, Michael Terribilini, Drena Dobbs, and Vasant Honavar. "Assessing the Performance of Macromolecular Sequence Classifiers." The 15th Annual International Conference On Intelligent Systems For Molecular Biology, Poster Program (ISMB 2007), Vienna, Austria, 2007. [pdf] [poster]

• Doina Caragea, Cornelia Caragea, Jie Bao, and Vasant Honavar. "Ontology-Based Information Integration Using INDUS: Intelligent Data Understanding System." Emerging Technologies Conference, Ames, Iowa, USA, 2007. [poster]

• Cornelia Caragea, Jivko Sinapov, Adrian Silvescu, Drena Dobbs, and Vasant Honavar. "Glycosylation Site Prediction using Machine Learning Approaches." The 11th Annual International Conference on Research in Computational Molecular Biology, Poster Program (RECOMB 2007), Oakland, California, USA, 2007. [pdf] [poster]

2006

• Cornelia Caragea, Jivko Sinapov, Adrian Silvescu, Drena Dobbs, and Vasant Honavar. "Learning Classifiers to Predict Glycosylation Sites in Proteins." The 4th Annual Rocky Mountain Bioinformatics Conference, Poster Program (Rocky 2006), Aspen/Snowmass, Colorado, USA, 2006. [poster]

• Yasser El-Manzalawy, Cornelia Caragea, Drena Dobbs, and Vasant Honavar. "On the Quality of Motifs for Protein Phosphorylation Site Prediction." The 14th Annual International Conference On Intelligent Systems For Molecular Biology, Poster Program (ISMB 2006), Fortaleza, Brazil, 2006. [pdf] [poster]

• Yasser El-Manzalawy, Cornelia Caragea, Drena Dobbs, and Vasant Honavar. "Machine Learning versus Profile-Based Methods for Protein Phosphorylation Site Prediction", The 6th Annual Joint Bioinformatics Symposium, Poster Program, Ames, Iowa, USA, 2006. [poster]

2005

• Cornelia Caragea, Doina Caragea, and Vasant Honavar. "Learning Support Vector Machine Classifiers from Distributed Data Sources." In: Proceedings of the 20th National Conference on Artificial Intelligence, pp. 1602-1603. AAAI Press, Student Abstract and Poster Program (AAAI 2005), Pittsburgh, Pennsylvania, USA, 2005. [pdf] [poster]