← Authors

Cornelia Caragea

101 papers · 2012–2026 · 11 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (11) 🧭 Keyword Pioneer 🌍 Conference Polyglot (11) πŸƒ Academic Marathon (13) 🐝 Cross-Pollinator (4) 🌈 Renaissance Researcher (9) 🏠 Conference Loyalist (25) 🧬 Topic Evolution 🀝 Dynamic Duo (14) πŸ† Keyword Champion (2) πŸ”¬ Deep Specialist (27) πŸš€ Conference Pioneer πŸ—ƒοΈ Keyword Collector (300) ⚑ Prolific Year (18) πŸ“ˆ Trend Setter πŸ”₯ Unstoppable (12) ❓ The Questioner (3) πŸ’Ž Century Club (99)

Conferences

EMNLP (29) ACL (25) AAAI (10) NAACL (10) COLING (8) IJCNLP (8) EACL (3) ICML (3) IJCAI (2) NIPS (2) CVPR (1)

Top co-authors

Tiberiu Sosea (15) Yingjie Li (14) Jishnu Ray Chowdhury (11) Doina Caragea (8) Chenye Zhao (6) Mobashir Sadat (6) Mahshid Hosseini (5) Junyi Jessy Li (5) Liviu P. Dinu (5) Seo Yeon Park (4)

Research topics

Linguistics (1)

Keywords

text classification (30) stance detection (13) semi-supervised learning (12) emotion detection (11) sentiment analysis (10) natural language inference (10) multi-task learning (9) data augmentation (7) zero-shot learning (7) large language model (7) knowledge distillation (7) social media analysis (6) convolutional neural network (5) multimodal learning (5) transfer learning (5) sentiment classification (5) pre-trained language model (5) model calibration (5) recursive neural network (4) named entity recognition (4)

Papers

On the Calibration of Image Semi-Supervised Learning Models AAAI 2026
MADIAVE: Multi-Agent Debate for Implicit Attribute Value Extraction EACL 2026
LLM-Guided Co-Training for Text Classification EMNLP 2025
Model Calibration for Emotion Detection EMNLP 2025
Active Few-Shot Learning for Text Classification NAACL 2025
Bilingual Zero-Shot Stance Detection ACL 2025
DynClean: Training Dynamics-based Label Cleaning for Distantly-Supervised Named Entity Recognition NAACL 2025
Zero-Shot Keyphrase Generation: Investigating Specialized Instructions and Multi-sample Aggregation on Large Language Models NAACL 2025
Hard Emotion Test Evaluation Sets for Language Models NAACL 2025
A MISMATCHED Benchmark for Scientific Natural Language Inference ACL 2025
MultiMatch: Multihead Consistency Regularization Matching for Semi-Supervised Text Classification EMNLP 2025
SciDMT: A Large-Scale Corpus for Detecting Scientific Mentions COLING 2024
EIVEN: Efficient Implicit Attribute Value Extraction using Multimodal LLM NAACL 2024
Language Models (Mostly) Do Not Consider Emotion Triggers When Predicting Emotion NAACL 2024
A Novel Cartography-Based Curriculum Learning Method Applied on RoNLI: The First Romanian Natural Language Inference Corpus ACL 2024
Co-training for Low Resource Scientific Natural Language Inference ACL 2024
GunStance: Stance Detection for Gun Control and Gun Regulation ACL 2024
EZ-STANCE: A Large Dataset for English Zero-Shot Stance Detection ACL 2024
ImplicitAVE: An Open-Source Dataset and Multimodal LLMs Benchmark for Implicit Attribute Value Extraction ACL 2024
ZeroStance: Leveraging ChatGPT for Open-Domain Stance Detection via Dataset Generation ACL 2024
MSciNLI: A Diverse Benchmark for Scientific Natural Language Inference NAACL 2024
Sarcasm Detection in a Disaster Context COLING 2024
Stanceformer: Target-Aware Transformer for Stance Detection EMNLP 2024
VerifyMatch: A Semi-Supervised Learning Paradigm for Natural Language Inference with Confidence-Aware MixUp EMNLP 2024
SciER: An Entity and Relation Extraction Dataset for Datasets, Methods, and Tasks in Scientific Documents EMNLP 2024
How Hard is this Test Set? NLI Characterization by Exploiting Training Dynamics EMNLP 2024
Semi-Supervised Domain Adaptation for Emotion-Related Tasks ACL 2023
Data Augmentation for Low-Resource Keyphrase Generation ACL 2023
What Clued the AI Doctor In? On the Influence of Data Source and Quality for Transformer-Based Medical Self-Disclosure Detection EACL 2023
Monotonic Location Attention for Length Generalization ICML 2023
Beam Tree Recursive Cells ICML 2023
Efficient Beam Tree Recursion NIPS 2023
Label Smoothing for Emotion Detection (Student Abstract) AAAI 2023
MarginMatch: Improving Semi-Supervised Learning with Pseudo-Margins CVPR 2023
DeepZensols: A Deep Learning Natural Language Processing Framework for Experimentation and Reproducibility EMNLP 2023
DeCrisisMB: Debiased Semi-Supervised Learning for Crisis Tweet Classification via Memory Bank EMNLP 2023
Multi-Task Knowledge Distillation with Embedding Constraints for Scholarly Keyphrase Boundary Classification EMNLP 2023
JointMatch: A Unified Approach for Diverse and Collaborative Pseudo-Labeling to Semi-Supervised Text Classification EMNLP 2023
Recursion in Recursion: Two-Level Nested Recursion for Length Generalization with Scalability NIPS 2023
Towards Identifying Fine-Grained Depression Symptoms from Memes ACL 2023
Unsupervised Extractive Summarization of Emotion Triggers ACL 2023
A New Direction in Stance Detection: Target-Stance Extraction in the Wild ACL 2023
C-STANCE: A Large Dataset for Chinese Zero-Shot Stance Detection ACL 2023
Distilling Calibrated Knowledge for Stance Detection ACL 2023
Feature Normalization and Cartography-Based Demonstrations for Prompt-Based Fine-Tuning on Emotion-Related Tasks AAAI 2023
Leveraging Training Dynamics and Self-Training for Text Classification EMNLP 2022
Why Do You Feel This Way? Summarizing Triggers of Emotions in Social Media Posts EMNLP 2022
Calibrating Student Models for Emotion-related Tasks EMNLP 2022
Keyphrase Generation Beyond the Boundaries of Title and Abstract EMNLP 2022
KPDROP: Improving Absent Keyphrase Generation EMNLP 2022
On the Calibration of Pre-trained Language Models using Mixup Guided by Area Under the Margin and Saliency ACL 2022
A Data Cartography based MixUp for Pre-trained Language Models NAACL 2022
Learning to Infer from Unlabeled Data: A Semi-supervised Learning Approach for Robust Natural Language Inference EMNLP 2022
Multimodal Semi-supervised Learning for Disaster Tweet Classification COLING 2022
Towards Summarizing Healthcare Questions in Low-Resource Setting COLING 2022
A New Public Corpus for Clinical Section Identification: MedSecId COLING 2022
SciNLI: A Corpus for Natural Language Inference on Scientific Text ACL 2022
Hierarchical Multi-Label Classification of Scientific Documents EMNLP 2022
P-Stance: A Large Dataset for Stance Detection in Political Domain IJCNLP 2021
It Takes Two to Empathize: One to Seek and One to Provide AAAI 2021
Author Homepage Discovery in CiteSeerX AAAI 2021
Stance Detection in COVID-19 Tweets ACL 2021
eMLM: A New Pre-training Objective for Emotion Related Tasks ACL 2021
Studying the Evolution of Scientific Topics and their Relationships ACL 2021
A Multi-Task Learning Framework for Multi-Target Stance Detection ACL 2021
P-Stance: A Large Dataset for Stance Detection in Political Domain ACL 2021
Exploiting Position and Contextual Word Embeddings for Keyphrase Extraction from Scientific Papers EACL 2021
Improving Stance Detection with Multi-Dataset Learning and Knowledge Distillation EMNLP 2021
Distilling Knowledge for Empathy Detection EMNLP 2021
Modeling Hierarchical Structures with Continuous Recursive Neural Networks ICML 2021
Stance Detection in COVID-19 Tweets IJCNLP 2021
eMLM: A New Pre-training Objective for Emotion Related Tasks IJCNLP 2021
Studying the Evolution of Scientific Topics and their Relationships IJCNLP 2021
A Multi-Task Learning Framework for Multi-Target Stance Detection IJCNLP 2021
Target-Aware Data Augmentation for Stance Detection NAACL 2021
Identifying Medical Self-Disclosure in Online Communities NAACL 2021
Detecting Perceived Emotions in Hurricane Disasters ACL 2020
A Multi-Task Learning Approach to Sarcasm Detection (Student Abstract) AAAI 2020
Exploring Abstract Concepts for Image Privacy Prediction in Social Networks (Student Abstract) AAAI 2020
On Identifying Hashtags in Disaster Twitter Data AAAI 2020
Scientific Keyphrase Identification and Classification by Pre-Trained Language Models Intermediate Task Transfer Learning COLING 2020
Cross-Lingual Disaster-related Multi-label Tweet Classification with Manifold Mixup ACL 2020
On the Use of Web Search to Improve Scientific Collections EMNLP 2020
CancerEmo: A Dataset for Fine-Grained Emotion Detection EMNLP 2020
The Myth of Double-Blind Review Revisited: ACL vs. EMNLP IJCNLP 2019
Dynamically Identifying Deep Multimodal Features for Image Privacy Prediction AAAI 2019
Cleaning Noisy and Heterogeneous Metadata for Record Linking across Scholarly Big Datasets AAAI 2019
Multi-Task Stance Detection with Sentiment and Stance Lexicons IJCNLP 2019
Multi-Task Stance Detection with Sentiment and Stance Lexicons EMNLP 2019
The Myth of Double-Blind Review Revisited: ACL vs. EMNLP EMNLP 2019
Exploring Optimism and Pessimism in Twitter Using Deep Learning EMNLP 2018
Fine-Grained Emotion Detection in Health-Related Online Posts EMNLP 2018
PositionRank: An Unsupervised Approach to Keyphrase Extraction from Scholarly Documents ACL 2017
A Group-Based Personalized Model for Image Privacy Classification and Labeling IJCAI 2017
Identifying Empathetic Messages in Online Health Communities IJCNLP 2017
Content-Driven Detection of Cyberbullying on the Instagram Social Network IJCAI 2016
Supervised Keyphrase Extraction as Positive Unlabeled Learning EMNLP 2016
Co-Training for Topic Classification of Scholarly Data EMNLP 2015
Citation-Enhanced Keyphrase Extraction from Research Papers: A Supervised Approach EMNLP 2014
Identifying Emotional and Informational Support in Online Health Communities COLING 2014
Thread Specific Features are Helpful for Identifying Subjectivity Orientation of Online Forum Threads COLING 2012