Cornelia Caragea

ORCID

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 165

Top Venues

Publications

Jishnu Ray Chowdhury, Cornelia Caragea
Recurrent Transformers with Dynamic Halt. CoRR (2024)
Henry Peng Zou, Yue Zhou, Weizhi Zhang, Cornelia Caragea
DeCrisisMB: Debiased Semi-Supervised Learning for Crisis Tweet Classification via Memory Bank. CoRR (2023)
Tiberiu Sosea, Cornelia Caragea
MarginMatch: Improving Semi-Supervised Learning with Pseudo-Margins. CoRR (2023)
Mahshid Hosseini, Cornelia Caragea
Feature Normalization and Cartography-Based Demonstrations for Prompt-Based Fine-Tuning on Emotion-Related Tasks. AAAI (2023)
Henry Peng Zou, Yue Zhou, Cornelia Caragea, Doina Caragea
CrisisMatch: Semi-Supervised Few-Shot Learning for Fine-Grained Disaster Tweet Classification. CoRR (2023)
Nikita Gautam, David Shumway, Megan Kowalcyk, Sarthak Khanal, Doina Caragea, Cornelia Caragea, Hande Mcginty, Samuel Dorevitch
Leveraging Existing Literature on the Web and Deep Neural Models to Build a Knowledge Graph Focused on Water Quality and Health Risks. WWW (2023)
Henry Peng Zou, Yue Zhou, Weizhi Zhang, Cornelia Caragea
DeCrisisMB: Debiased Semi-Supervised Learning for Crisis Tweet Classification via Memory Bank. EMNLP (Findings) (2023)
Chenye Zhao, Cornelia Caragea
EZ-STANCE: A Large Dataset for Zero-Shot Stance Detection. EMNLP (Findings) (2023)
Tiberiu Sosea, Hongli Zhan, Junyi Jessy Li, Cornelia Caragea
Unsupervised Extractive Summarization of Emotion Triggers. CoRR (2023)
Jishnu Ray Chowdhury, Cornelia Caragea
Recursion in Recursion: Two-Level Nested Recursion for Length Generalization with Scalability. NeurIPS (2023)
Jishnu Ray Chowdhury, Cornelia Caragea
Efficient Beam Tree Recursion. CoRR (2023)
Krishna Garg, Jishnu Ray Chowdhury, Cornelia Caragea
Data Augmentation for Low-Resource Keyphrase Generation. CoRR (2023)
Yingjie Li, Cornelia Caragea
Distilling Calibrated Knowledge for Stance Detection. ACL (Findings) (2023)
Krishna Garg, Jishnu Ray Chowdhury, Cornelia Caragea
Data Augmentation for Low-Resource Keyphrase Generation. ACL (Findings) (2023)
Tiberiu Sosea, Cornelia Caragea
MarginMatch: Improving Semi-Supervised Learning with Pseudo-Margins. CVPR (2023)
Smriti Singh, Cornelia Caragea, Junyi Jessy Li
Language Models (Mostly) Do Not Consider Emotion Triggers When Predicting Emotion. CoRR (2023)
Jishnu Ray Chowdhury, Cornelia Caragea
Recursion in Recursion: Two-Level Nested Recursion for Length Generalization with Scalability. CoRR (2023)
Henry Peng Zou, Cornelia Caragea
JointMatch: A Unified Approach for Diverse and Collaborative Pseudo-Labeling to Semi-Supervised Text Classification. EMNLP (2023)
Huitong Pan, Qi Zhang, Eduard Dragut, Cornelia Caragea, Longin Jan Latecki
DMDD: A Large-Scale Dataset for Dataset Mentions Detection. CoRR (2023)
Mina Valizadeh, Xing Qian, Pardis Ranjbar-Noiey, Cornelia Caragea, Natalie Parde
What Clued the AI Doctor In? On the Influence of Data Source and Quality for Transformer-Based Medical Self-Disclosure Detection. EACL (2023)
Sandeep Mehta, Darpan Shah, Ravindra Kulkarni, Cornelia Caragea
Semantic Tokenizer for Enhanced Natural Language Processing. CoRR (2023)
Henry Peng Zou, Cornelia Caragea
JointMatch: A Unified Approach for Diverse and Collaborative Pseudo-Labeling to Semi-Supervised Text Classification. CoRR (2023)
Shweta Yadav, Cornelia Caragea, Chenye Zhao, Naincy Kumari, Marvin Solberg, Tanmay Sharma
Towards Identifying Fine-Grained Depression Symptoms from Memes. ACL (1) (2023)
Jishnu Ray Chowdhury, Cornelia Caragea
Beam Tree Recursive Cells. CoRR (2023)
Jishnu Ray Chowdhury, Cornelia Caragea
Monotonic Location Attention for Length Generalization. ICML (2023)
Jishnu Ray Chowdhury, Cornelia Caragea
Efficient Beam Tree Recursion. NeurIPS (2023)
Yingjie Li, Chenye Zhao, Cornelia Caragea
TTS: A Target-based Teacher-Student Framework for Zero-Shot Stance Detection. WWW (2023)
Jishnu Ray Chowdhury, Cornelia Caragea
Monotonic Location Attention for Length Generalization. CoRR (2023)
Mahshid Hosseini, Cornelia Caragea
Semi-Supervised Domain Adaptation for Emotion-Related Tasks. ACL (Findings) (2023)
Chenye Zhao, Cornelia Caragea
Deep Gated Multi-modal Fusion for Image Privacy Prediction. ACM Trans. Web 17 (4) (2023)
Chenye Zhao, Yingjie Li, Cornelia Caragea
C-STANCE: A Large Dataset for Chinese Zero-Shot Stance Detection. ACL (1) (2023)
Tiberiu Sosea, Hongli Zhan, Junyi Jessy Li, Cornelia Caragea
Unsupervised Extractive Summarization of Emotion Triggers. ACL (1) (2023)
Tuhin Kundu, Jishnu Ray Chowdhury, Cornelia Caragea
Neural Keyphrase Generation: Analysis and Evaluation. CoRR (2023)
Seo Park, Cornelia Caragea
Multi-Task Knowledge Distillation with Embedding Constraints for Scholarly Keyphrase Boundary Classification. EMNLP (2023)
Jishnu Ray Chowdhury, Cornelia Caragea
Beam Tree Recursive Cells. ICML (2023)
George Maratos, Tiberiu Sosea, Cornelia Caragea
Label Smoothing for Emotion Detection (Student Abstract). AAAI (2023)
Yingjie Li, Krishna Garg, Cornelia Caragea
A New Direction in Stance Detection: Target-Stance Extraction in the Wild. ACL (1) (2023)
Shweta Yadav, Stefan Cobeli, Cornelia Caragea
Towards Understanding Consumer Healthcare Questions on the Web with Semantically Enhanced Contrastive Learning. WWW (2023)
Tiberiu Sosea, Junyi Jessy Li, Cornelia Caragea
Sarcasm Detection in a Disaster Context. CoRR (2023)
Shweta Yadav, Cornelia Caragea
Towards Summarizing Healthcare Questions in Low-Resource Setting. COLING (2022)
Seoyeon Park, Cornelia Caragea
A Data Cartography based MixUp for Pre-trained Language Models. NAACL-HLT (2022)
Jishnu Ray Chowdhury, Seoyeon Park, Tuhin Kundu, Cornelia Caragea
KPDROP: Improving Absent Keyphrase Generation. EMNLP (Findings) (2022)
Stefan Cobeli, Ioan-Bogdan Iordache, Shweta Yadav, Cornelia Caragea, Liviu P. Dinu, Dragos Iliescu
Detecting Optimism in Tweets using Knowledge Distillation and Linguistic Analysis of Optimism. LREC (2022)
Mahshid Hosseini, Cornelia Caragea
Calibrating Student Models for Emotion-related Tasks. EMNLP (2022)
Mobashir Sadat, Cornelia Caragea
Learning to Infer from Unlabeled Data: A Semi-supervised Learning Approach for Robust Natural Language Inference. CoRR (2022)
Seoyeon Park, Cornelia Caragea
A Data Cartography based MixUp for Pre-trained Language Models. CoRR (2022)
Tiberiu Sosea, Cornelia Caragea
Leveraging Training Dynamics and Self-Training for Text Classification. EMNLP (Findings) (2022)
Mobashir Sadat, Cornelia Caragea
Hierarchical Multi-Label Classification of Scientific Documents. CoRR (2022)
Seoyeon Park, Cornelia Caragea
On the Calibration of Pre-trained Language Models using Mixup Guided by Area Under the Margin and Saliency. CoRR (2022)
Hongli Zhan, Tiberiu Sosea, Cornelia Caragea, Junyi Jessy Li
Why Do You Feel This Way? Summarizing Triggers of Emotions in Social Media Posts. CoRR (2022)
Mobashir Sadat, Cornelia Caragea
SciNLI: A Corpus for Natural Language Inference on Scientific Text. CoRR (2022)
Mobashir Sadat, Cornelia Caragea
Learning to Infer from Unlabeled Data: A Semi-supervised Learning Approach for Robust Natural Language Inference. EMNLP (Findings) (2022)
Mobashir Sadat, Cornelia Caragea
Hierarchical Multi-Label Classification of Scientific Documents. EMNLP (2022)
Seoyeon Park, Cornelia Caragea
On the Calibration of Pre-trained Language Models using Mixup Guided by Area Under the Margin and Saliency. ACL (1) (2022)
Jishnu Ray Chowdhury, Debanjan Mahata, Cornelia Caragea
On the Evaluation of Answer-Agnostic Paragraph-level Multi-Question Generation. CoRR (2022)
Paul Landes, Kunal Patel, Sean S. Huang, Adam Webb, Barbara Di Eugenio, Cornelia Caragea
A New Public Corpus for Clinical Section Identification: MedSecId. COLING (2022)
Hongli Zhan, Tiberiu Sosea, Cornelia Caragea, Junyi Jessy Li
Why Do You Feel This Way? Summarizing Triggers of Emotions in Social Media Posts. EMNLP (2022)
Tiberiu Sosea, Chau Pham, Alexander Tekle, Cornelia Caragea, Junyi Jessy Li
Emotion analysis and detection during COVID-19. LREC (2022)
Iustin Sirbu, Tiberiu Sosea, Cornelia Caragea, Doina Caragea, Traian Rebedea
Multimodal Semi-supervised Learning for Disaster Tweet Classification. COLING (2022)
Tiberiu Sosea, Cornelia Caragea
EnsyNet: A Dataset for Encouragement and Sympathy Detection. LREC (2022)
Chenye Zhao, Jasmine Mangat, Sujay Koujalgi, Anna Cinzia Squicciarini, Cornelia Caragea
PrivacyAlert: A Dataset for Image Privacy Prediction. ICWSM (2022)
Mobashir Sadat, Cornelia Caragea
SciNLI: A Corpus for Natural Language Inference on Scientific Text. ACL (1) (2022)
Krishna Garg, Jishnu Ray Chowdhury, Cornelia Caragea
Keyphrase Generation Beyond the Boundaries of Title and Abstract. EMNLP (Findings) (2022)
Kyle Glandt, Sarthak Khanal, Yingjie Li, Doina Caragea, Cornelia Caragea
Stance Detection in COVID-19 Tweets. ACL/IJCNLP (1) (2021)
Yingjie Li, Chenye Zhao, Cornelia Caragea
Improving Stance Detection with Multi-Dataset Learning and Knowledge Distillation. EMNLP (1) (2021)
Krutarth Patel, Cornelia Caragea, Doina Caragea, C. Lee Giles
Author Homepage Discovery in CiteSeerX. AAAI (2021)
Chenye Zhao, Cornelia Caragea
Knowledge Distillation with BERT for Image Tag-Based Privacy Prediction. RANLP (2021)
Krishna Garg, Jishnu Ray Chowdhury, Cornelia Caragea
Keyphrase Generation Beyond the Boundaries of Title and Abstract. CoRR (2021)
Krutarth Patel, Cornelia Caragea
Exploiting Position and Contextual Word Embeddings for Keyphrase Extraction from Scientific Papers. EACL (2021)
Tiberiu Sosea, Cornelia Caragea
eMLM: A New Pre-training Objective for Emotion Related Tasks. ACL/IJCNLP (2) (2021)
Yingjie Li, Cornelia Caragea
Target-Aware Data Augmentation for Stance Detection. NAACL-HLT (2021)
Tanmoy Chakraborty, Sumit Bhatia, Cornelia Caragea
Special section on mining knowledge from scientific data. Expert Syst. J. Knowl. Eng. 38 (4) (2021)
Yingjie Li, Tiberiu Sosea, Aditya Sawant, Ajith Jayaraman Nair, Diana Inkpen, Cornelia Caragea
P-Stance: A Large Dataset for Stance Detection in Political Domain. ACL/IJCNLP (Findings) (2021)
Paul Landes, Barbara Di Eugenio, Cornelia Caragea
DeepZensols: Deep Natural Language Processing Framework. CoRR (2021)
Yingjie Li, Cornelia Caragea
A Multi-Task Learning Framework for Multi-Target Stance Detection. ACL/IJCNLP (Findings) (2021)
Mahshid Hosseini, Cornelia Caragea
Distilling Knowledge for Empathy Detection. EMNLP (Findings) (2021)
Jishnu Ray Chowdhury, Cornelia Caragea
Modeling Hierarchical Structures with Continuous Recursive Neural Networks. ICML (2021)
Ana Sabina Uban, Cornelia Caragea
Generating Summaries for Scientific Paper Review. CoRR (2021)
Hongmin Li, Doina Caragea, Cornelia Caragea
Combining Self-training with Deep Learning for Disaster Tweet Classification. ISCRAM (2021)
Mina Valizadeh, Pardis Ranjbar-Noiey, Cornelia Caragea, Natalie Parde
Identifying Medical Self-Disclosure in Online Communities. NAACL-HLT (2021)
Alexander Tekle, Chau Pham, Cornelia Caragea, Junyi Jessy Li
When a crisis strikes: Emotion analysis and detection during COVID-19. CoRR (2021)
Jishnu Ray Chowdhury, Cornelia Caragea
Modeling Hierarchical Structures with Continuous Recursive Neural Networks. CoRR (2021)
Mahshid Hosseini, Cornelia Caragea
It Takes Two to Empathize: One to Seek and One to Provide. AAAI (2021)
Seoyeon Park, Jishnu Ray Chowdhury, Tuhin Kundu, Cornelia Caragea
KPDrop: An Approach to Improving Absent Keyphrase Generation. CoRR (2021)
Tiberiu Sosea, Iustin Sirbu, Cornelia Caragea, Doina Caragea, Traian Rebedea
Using the Image-Text Relationship to Improve Multimodal Disaster Tweet Classification. ISCRAM (2021)
Ana Sabina Uban, Cornelia Caragea, Liviu P. Dinu
Studying the Evolution of Scientific Topics and their Relationships. ACL/IJCNLP (Findings) (2021)
Ye Liu, Shaika Chowdhury, Chenwei Zhang, Cornelia Caragea, Philip S. Yu
Interpretable Multi-Step Reasoning with Knowledge Extraction on Complex Healthcare Question Answering. CoRR (2020)
Krutarth Patel, Cornelia Caragea, Mark E. Phillips
Dynamic Classification in Web Archiving Collections. LREC (2020)
Shaurya Rohatgi, Zeba Karishma, Jason Chhay, Sai Raghav Reddy Keesara, Jian Wu, Cornelia Caragea, C. Lee Giles
COVIDSeer: Extending the CORD-19 Dataset. DocEng (2020)
Seoyeon Park, Cornelia Caragea
Scientific Keyphrase Identification and Classification by Pre-Trained Language Models Intermediate Task Transfer Learning. COLING (2020)
Shrey Desai, Cornelia Caragea, Junyi Jessy Li
Detecting Perceived Emotions in Hurricane Disasters. ACL (2020)
Jishnu Ray Chowdhury, Cornelia Caragea, Doina Caragea
On Identifying Hashtags in Disaster Twitter Data. CoRR (2020)
Shrey Desai, Cornelia Caragea, Junyi Jessy Li
Detecting Perceived Emotions in Hurricane Disasters. CoRR (2020)
Gabriele Galfré, Cornelia Caragea
Exploring Abstract Concepts for Image Privacy Prediction in Social Networks (Student Abstract). AAAI (2020)
Krutarth Patel, Cornelia Caragea, Mark Phillips, Nathaniel T. Fox
Identifying Documents In-Scope of a Collection from Web Archives. CoRR (2020)
Krutarth Patel, Cornelia Caragea, Mark E. Phillips, Nathaniel T. Fox
Identifying Documents In-Scope of a Collection from Web Archives. JCDL (2020)
Jishnu Ray Chowdhury, Cornelia Caragea, Doina Caragea
Cross-Lingual Disaster-related Multi-label Tweet Classification with Manifold Mixup. ACL (student) (2020)
Krutarth Patel, Cornelia Caragea, Jian Wu, C. Lee Giles
Keyphrase Extraction in Scholarly Digital Library Search Engines. ICWS (2020)
Tiberiu Sosea, Cornelia Caragea
CancerEmo: A Dataset for Fine-Grained Emotion Detection. EMNLP (1) (2020)
Ashwini Tonge, Cornelia Caragea
Image Privacy Prediction Using Deep Neural Networks. ACM Trans. Web 14 (2) (2020)

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Publication Activity (10 Years)

Top Topics

Top Venues

Cornelia Caragea