Learning Support Vector Machines from Distributed Data Sources. - Cornelia Caragea; Doina Caragea; Vasant G. Honavar (AAAI, 2005)

Assessing the Performance of Macromolecular Sequence Classifiers. - Cornelia Caragea; Jivko Sinapov; Vasant G. Honavar; Drena Dobbs (BIBE, 2007)

Glycosylation site prediction using ensembles of Support Vector Machine classifiers. - Cornelia Caragea; Jivko Sinapov; Adrian Silvescu; Drena Dobbs; Vasant G. Honavar (BMC Bioinform., 2007)

Using Global Sequence Similarity to Enhance Biological Sequence Labeling. - Cornelia Caragea; Jivko Sinapov; Drena Dobbs; Vasant G. Honavar (BIBM, 2008)

Striking Similarities in Diverse Telomerase Proteins Revealed by Combining Structure Prediction and Machine Learning Approaches. - Jae-Hyung Lee; Michael Hamilton; Colin Gleeson; Cornelia Caragea; Peter Zaback; Jeffry D. Sander; Li C. Xue; Feihong Wu; Michael Terribilini; Vasant G. Honavar; Drena Dobbs (Pacific Symposium on Biocomputing, 2008)

Learning Classifiers from Large Databases Using Statistical Queries. - Neeraj Koul; Cornelia Caragea; Vasant G. Honavar; Vikas Bahirwani; Doina Caragea (Web Intelligence, 2008)

Combining Super-Structuring and Abstraction on Sequence Classification. - Adrian Silvescu; Cornelia Caragea; Vasant G. Honavar (ICDM, 2009)

Learning Link-Based Classifiers from Ontology-Extended Textual Data. - Cornelia Caragea; Doina Caragea; Vasant G. Honavar (ICTAI, 2009)

Learning Link-Based Naïve Bayes Classifiers from Ontology-Extended Distributed Data. - Cornelia Caragea; Doina Caragea; Vasant G. Honavar (OTM Conferences (2), 2009)

Mixture of experts models to exploit global sequence similarity on biomolecular sequence labeling. - Cornelia Caragea; Jivko Sinapov; Drena Dobbs; Vasant G. Honavar (BMC Bioinform., 2009)

Machine Learning in Computational Biology. - Cornelia Caragea; Vasant G. Honavar (Encyclopedia of Database Systems, 2009)

Semi-supervised sequence classification using abstraction augmented Markov models. - Cornelia Caragea; Adrian Silvescu; Doina Caragea; Vasant G. Honavar (BCB, 2010)

Abstraction Augmented Markov Models. - Cornelia Caragea; Adrian Silvescu; Doina Caragea; Vasant G. Honavar (ICDM, 2010)

Semi-supervised prediction of protein subcellular localization using abstraction augmented Markov models. - Cornelia Caragea; Doina Caragea; Adrian Silvescu; Vasant G. Honavar (BMC Bioinform., 2010)

Struct-NB: predicting protein-RNA binding sites using structural features. - Fadi Towfic; Cornelia Caragea; David C. Gemperline; Drena Dobbs; Vasant G. Honavar (Int. J. Data Min. Bioinform., 2010)

Protein Sequence Classification Using Feature Hashing. - Cornelia Caragea; Adrian Silvescu; Prasenjit Mitra (BIBM, 2011)

Context Sensitive Topic Models for Author Influence in Document Networks. - Saurabh Kataria 003; Prasenjit Mitra; Cornelia Caragea; C. Lee Giles (IJCAI, 2011)

Classifying text messages for the haiti earthquake. - Cornelia Caragea; Nathan J. McNeese; Anuj R. Jaiswal; Greg Traylor; Hyun-Woo Kim; Prasenjit Mitra; Dinghao Wu; Andrea H. Tapia; C. Lee Giles; Bernard J. Jansen; John Yen (ISCRAM, 2011)

On identifying academic homepages for digital libraries. - Sujatha Das Gollapalli; C. Lee Giles; Prasenjit Mitra; Cornelia Caragea (JCDL, 2011)

Classifying Scientific Publications Using Abstract Features. - Cornelia Caragea; Adrian Silvescu; Saurabh Kataria 003; Doina Caragea; Prasenjit Mitra (SARA, 2011)

Get Online Support, Feel Better - Sentiment Analysis and Dynamics in an Online Cancer Survivor Community. - Baojun Qiu; Kang Zhao 001; Prasenjit Mitra; Dinghao Wu; Cornelia Caragea; John Yen; Greta E. Greer; Kenneth Portier (SocialCom/PASSAT, 2011)

Combining Hashing and Abstraction in Sparse High Dimensional Feature Spaces. - Cornelia Caragea; Adrian Silvescu; Prasenjit Mitra (AAAI, 2012)

I want what i need!: analyzing subjectivity of online forum threads. - Prakhar Biyani; Cornelia Caragea; Amit Singh 003; Prasenjit Mitra (CIKM, 2012)

Recommending citations: translating papers into references. - Wenyi Huang; Saurabh Kataria 003; Cornelia Caragea; Prasenjit Mitra; C. Lee Giles; Lior Rokach (CIKM, 2012)

Thread Specific Features are Helpful for Identifying Subjectivity Orientation of Online Forum Threads. - Prakhar Biyani; Sumit Bhatia; Cornelia Caragea; Prasenjit Mitra (COLING, 2012)

Protein-RNA interface residue prediction using machine learning: an assessment of the state of the art. - Rasna R. Walia; Cornelia Caragea; Benjamin A. Lewis; Fadi Towfic; Michael Terribilini; Yasser El-Manzalawy; Drena Dobbs; Vasant G. Honavar (BMC Bioinform., 2012)

Specialized Research Datasets in the CiteSeerx Digital Library. - Sumit Bhatia; Cornelia Caragea; Hung-Hsuan Chen; Jian Wu 006; Pucktada Treeratpituk; Zhaohui Wu 002; Madian Khabsa; Prasenjit Mitra; C. Lee Giles (D Lib Mag., 2012)

Co-training over domain-independent and domain-dependent features for sentiment analysis of an online cancer support community. - Prakhar Biyani; Cornelia Caragea; Prasenjit Mitra; Chong Zhou; John Yen; Greta E. Greer; Kenneth Portier (ASONAM, 2013)

Predicting Subjectivity Orientation of Online Forum Threads. - Prakhar Biyani; Cornelia Caragea; Prasenjit Mitra (CICLing (2), 2013)

2013 international workshop on computational scientometrics: theory and applications. - Cornelia Caragea; C. Lee Giles; Lior Rokach; Xiaozhong Liu (CIKM, 2013)

Can't see the forest for the trees?: a citation recommendation system. - Cornelia Caragea; Adrian Silvescu; Prasenjit Mitra; C. Lee Giles (JCDL, 2013)

Improving Sentiment Analysis in an Online Cancer Survivor Community Using Dynamic Sentiment Lexicon. - Nir Ofek; Cornelia Caragea; Lior Rokach; Prakhar Biyani; Prasenjit Mitra; John Yen; Kenneth Portier; Greta E. Greer (SOCIETY, 2013)

Researcher homepage classification using unlabeled data. - Sujatha Das Gollapalli; Cornelia Caragea; Prasenjit Mitra; C. Lee Giles (WWW, 2013)

Extracting Keyphrases from Research Papers Using Citation Networks. - Sujatha Das Gollapalli; Cornelia Caragea (AAAI, 2014)

CiteSeerX: AI in a Digital Library Search Engine. - Jian Wu 006; Kyle Mark Williams; Hung-Hsuan Chen; Madian Khabsa; Cornelia Caragea; Alexander Ororbia; Douglas Jordan; C. Lee Giles (AAAI, 2014)

Towards building a collection of web archiving research articles. - Brenda Reyes Ayala; Cornelia Caragea (ASIST, 2014)

Identifying valuable information from twitter during natural disasters. - Brandon Truong; Cornelia Caragea; Anna Cinzia Squicciarini; Andrea H. Tapia (ASIST, 2014)

Identifying Emotional and Informational Support in Online Health Communities. - Prakhar Biyani; Cornelia Caragea; Prasenjit Mitra; John Yen (COLING, 2014)

CiteSeer x : A Scholarly Big Dataset. - Cornelia Caragea; Jian Wu 006; Alina Maria Ciobanu; Kyle Williams 001; Juan Pablo Fernández Ramírez; Hung-Hsuan Chen; Zhaohui Wu 002; C. Lee Giles (ECIR, 2014)

Citation-Enhanced Keyphrase Extraction from Research Papers: A Supervised Approach. - Cornelia Caragea; Florin Adrian Bulgarov; Andreea Godea; Sujatha Das Gollapalli (EMNLP, 2014)

Analyzing images' privacy for the modern web. - Anna Cinzia Squicciarini; Cornelia Caragea; Rahul Balakavi (HT, 2014)

Playscript Classification and Automatic Wikipedia Play Articles Generation. - Siddhartha Banerjee; Cornelia Caragea; Prasenjit Mitra (ICPR, 2014)

Mapping moods: Geo-mapped sentiment analysis during hurricane sandy. - Cornelia Caragea; Anna Cinzia Squicciarini; Sam Stehle; Kishore Neppalli; Andrea H. Tapia (ISCRAM, 2014)

Document Analysis and Retrieval Tasks in Scientific Digital Libraries. - Sujatha Das Gollapalli; Cornelia Caragea; Xiaoli Li 001; C. Lee Giles (RuSSIR, 2014)

Keyword and Keyphrase Extraction Using Centrality Measures on Collocation Networks. - Shibamouli Lahiri; Sagnik Ray Choudhury; Cornelia Caragea (CoRR, 2014)

Using non-lexical features for identifying factual and opinionative threads in online forums. - Prakhar Biyani; Sumit Bhatia; Cornelia Caragea; Prasenjit Mitra (Knowl. Based Syst., 2014)

An Analysis of Twitter Data on E-cigarette Sentiments and Promotion. - Andreea Kamiana Godea; Cornelia Caragea; Florin Adrian Bulgarov; Suhasini Ramisetty-Mikler (AIME, 2015)

Using Subjectivity Analysis to Improve Thread Retrieval in Online Forums. - Prakhar Biyani; Sumit Bhatia; Cornelia Caragea; Prasenjit Mitra (ECIR, 2015)

Co-Training for Topic Classification of Scholarly Data. - Cornelia Caragea; Florin Adrian Bulgarov; Rada Mihalcea (EMNLP, 2015)

Twitter Mining for Disaster Response: A Domain Adaptation Approach. - Hongmin Li 001; Nicolais Guevara; Nic Herndon; Doina Caragea; Kishore Neppalli; Cornelia Caragea; Anna Cinzia Squicciarini; Andrea H. Tapia (ISCRAM, 2015)

PDFMEF: A Multi-Entity Knowledge Extraction Framework for Scholarly Documents and Semantic Search. - Jian Wu 006; Jason Killian; Huaiyu Yang; Kyle Williams 001; Sagnik Ray Choudhury; Suppawong Tuarob; Cornelia Caragea; C. Lee Giles (K-CAP, 2015)

A Comparison of Supervised Keyphrase Extraction Models. - Florin Adrian Bulgarov; Cornelia Caragea (WWW (Companion Volume), 2015)

The Importance of Pronouns to Sentiment Analysis: Online Cancer Survivor Network Case Study. - Nir Ofek; Lior Rokach; Cornelia Caragea; John Yen (WWW (Companion Volume), 2015)

Reports from the 2015 AAAI Workshop Program. - Stefano V. Albrecht; J. Christopher Beck; David L. Buckeridge; Adi Botea; Cornelia Caragea; Chi-Hung Chi; Theodoros Damoulas; Bistra Dilkina; Eric Eaton; Pooyan Fazli; Sam Ganzfried; Marius Lindauer; et al. (AI Mag., 2015)

CiteSeerX: AI in a Digital Library Search Engine. - Jian Wu 006; Kyle Mark Williams; Hung-Hsuan Chen; Madian Khabsa; Cornelia Caragea; Suppawong Tuarob; Alexander Ororbia; Douglas Jordan; Prasenjit Mitra; C. Lee Giles (AI Mag., 2015)

Entity-Specific Sentiment Classification of Yahoo News Comments. - Prakhar Biyani; Cornelia Caragea; Narayan L. Bhamidipati (CoRR, 2015)

Privacy Prediction of Images Shared on Social Media Sites Using Deep Features. - Ashwini Tonge; Cornelia Caragea (CoRR, 2015)

Improving Researcher Homepage Classification with Unlabeled Data. - Sujatha Das Gollapalli; Cornelia Caragea; Prasenjit Mitra; C. Lee Giles (ACM Trans. Web, 2015)

Document Type Classification in Online Digital Libraries. - Cornelia Caragea; Jian Wu 006; Sujatha Das Gollapalli; C. Lee Giles (AAAI, 2016)

MetaSeer.STEM: Towards Automating Meta-Analyses. - Kishore Neppalli; Cornelia Caragea; Robin Mayes; Kim Nimon; Fred Oswald (AAAI, 2016)

Image Privacy Prediction Using Deep Features. - Ashwini Kishore Tonge; Cornelia Caragea (AAAI, 2016)

Supervised Keyphrase Extraction as Positive Unlabeled Learning. - Lucas Sterckx; Cornelia Caragea; Thomas Demeester; Chris Develder (EMNLP, 2016)

Content-Driven Detection of Cyberbullying on the Instagram Social Network. - Haoti Zhong; Hao Li; Anna Cinzia Squicciarini; Sarah Michele Rajtmajer; Christopher Griffin 001; David J. Miller 001; Cornelia Caragea (IJCAI, 2016)

Identifying Informative Messages in Disasters using Convolutional Neural Networks. - Cornelia Caragea; Adrian Silvescu; Andrea H. Tapia (ISCRAM, 2016)

An Emotional Step Towards Automated Trust Detection in Crisis Social Media. - Shane Errol Halse; Andrea H. Tapia; Anna Cinzia Squicciarini; Cornelia Caragea (ISCRAM, 2016)

Tweet Factors Influencing Trust and Usefulness During Both Man-Made and Natural Disasters. - Shane Errol Halse; Andrea H. Tapia; Anna Cinzia Squicciarini; Cornelia Caragea (ISCRAM, 2016)

Retweetability Analysis and Prediction during Hurricane Sandy. - Venkata Kishore Neppalli; Murilo Cerqueira Medeiros; Cornelia Caragea; Doina Caragea; Andrea H. Tapia; Shane E. Halse (ISCRAM, 2016)

Reports of the 2016 AAAI Workshop Program. - Stefano V. Albrecht; Bruno Bouchard 001; John S. Brownstein; David L. Buckeridge; Cornelia Caragea; Kevin M. Carter 001; Adnan Darwiche; Blaz Fortuna; Yannick Francillette; Sébastien Gaboury; C. Lee Giles; Marko Grobelnik; et al. (AI Mag., 2016)

A Search/Crawl Framework for Automatically Acquiring Scientific Documents. - Sujatha Das Gollapalli; Krutarth Patel; Cornelia Caragea (CoRR, 2016)

Predicting Tweet Retweetability during Hurricane Disasters. - Venkata Kishore Neppalli; Cornelia Caragea; Doina Caragea; Murilo Cerqueira Medeiros; Andrea H. Tapia; Shane E. Halse (Int. J. Inf. Syst. Crisis Response Manag., 2016)

A Position-Biased PageRank Algorithm for Keyphrase Extraction. - Corina Florescu; Cornelia Caragea (AAAI, 2017)

PositionRank: An Unsupervised Approach to Keyphrase Extraction from Scholarly Documents. - Corina Florescu; Cornelia Caragea (ACL (1), 2017)

A New Scheme for Scoring Phrases in Unsupervised Keyphrase Extraction. - Corina Florescu; Cornelia Caragea (ECIR, 2017)

A Group-Based Personalized Model for Image Privacy Classification and Labeling. - Haoti Zhong; Anna Cinzia Squicciarini; David J. Miller 001; Cornelia Caragea (IJCAI, 2017)

Identifying Empathetic Messages in Online Health Communities. - Hamed Khanpour; Cornelia Caragea; Prakhar Biyani (IJCNLP(2), 2017)

Towards Practical Usage of a Domain Adaptation Algorithm in the Early Hours of a Disaster. - Hongmin Li 001; Doina Caragea; Cornelia Caragea (ISCRAM, 2017)

From Tag to Protect: A Tag-Driven Policy Recommender System for Image Sharing. - Anna Cinzia Squicciarini; Andrea Novelli; Dan Lin 001; Cornelia Caragea; Haoti Zhong (PST, 2017)

Toward Automated Online Photo Privacy. - Anna Cinzia Squicciarini; Cornelia Caragea; Rahul Balakavi (ACM Trans. Web, 2017)

Identifying Emotional Support in Online Health Communities. - Hamed Khanpour; Cornelia Caragea; Prakhar Biyani (AAAI, 2018)

Uncovering Scene Context for Predicting Privacy of Online Shared Images. - Ashwini Tonge; Cornelia Caragea; Anna Cinzia Squicciarini (AAAI, 2018)

Exploring Optimism and Pessimism in Twitter Using Deep Learning. - Cornelia Caragea; Liviu P. Dinu; Bogdan Dumitru (EMNLP, 2018)

Fine-Grained Emotion Detection in Health-Related Online Posts. - Hamed Khanpour; Cornelia Caragea (EMNLP, 2018)

Venue Classification of Research Papers in Scholarly Digital Libraries. - Cornelia Caragea; Corina Florescu (TPDL, 2018)

Privacy-Aware Tag Recommendation for Image Sharing. - Ashwini Tonge; Cornelia Caragea; Anna Cinzia Squicciarini (HT, 2018)

Classification of Twitter Disaster Data Using a Hybrid Feature-Instance Adaptation Approach. - Reza Mazloom; HongMin Li 001; Doina Caragea; Muhammad Imran 002; Cornelia Caragea (ISCRAM, 2018)

Deep Neural Networks versus Naive Bayes Classifiers for Identifying Informative Tweets during Disasters. - Venkata Kishore Neppalli; Cornelia Caragea; Doina Caragea (ISCRAM, 2018)

Fine-Grained Information Identification in Health Related Posts. - Hamed Khanpour; Cornelia Caragea (SIGIR, 2018)

On the Use of "Deep" Features for Online Image Sharing. - Ashwini Tonge; Cornelia Caragea (WWW (Companion Volume), 2018)

Domain Adaptation for Crisis Data Using Correlation Alignment and Self-Training. - Hongmin Li 001; Oleksandra Sopova; Doina Caragea; Cornelia Caragea (Int. J. Inf. Syst. Crisis Response Manag., 2018)

Vertical Ensemble Co-Training for Text Classification. - Gilad Katz; Cornelia Caragea; Asaf Shabtai (ACM Trans. Intell. Syst. Technol., 2018)

Machine Learning in Computational Biology. - Cornelia Caragea; Vasant G. Honavar (Encyclopedia of Database Systems (2nd ed.), 2018)

Cleaning Noisy and Heterogeneous Metadata for Record Linking across Scholarly Big Datasets. - Athar Sefid; Jian Wu 006; Allen C. Ge; Jing Zhao; Lu Liu; Cornelia Caragea; Prasenjit Mitra; C. Lee Giles (AAAI, 2019)

Dynamically Identifying Deep Multimodal Features for Image Privacy Prediction. - Ashwini Tonge; Cornelia Caragea (AAAI, 2019)

Paths to Empathy: Heterogeneous Effects of Reading Personal Stories Online. - Mahnaz Roshanaei; Christopher Tran 001; Sylvia Morelli; Cornelia Caragea; Elena Zheleva (DSAA, 2019)

The Myth of Double-Blind Review Revisited: ACL vs. EMNLP. - Cornelia Caragea; Ana Sabina Uban; Liviu P. Dinu (EMNLP/IJCNLP (1), 2019)

Multi-Task Stance Detection with Sentiment and Stance Lexicons. - Yingjie Li 008; Cornelia Caragea (EMNLP/IJCNLP (1), 2019)

Refining a Coding Scheme to Identify Actionable Information on Social Media. - Jess Kropczynski; Rob Grace; Shane E. Halse; Doina Caragea; Cornelia Caragea; Andrea H. Tapia (ISCRAM, 2019)

Identifying Disaster Damage Images Using a Domain Adaptation Approach. - Xukun Li; Doina Caragea; Cornelia Caragea; Muhammad Imran 002; Ferda Ofli (ISCRAM, 2019)

Sympathy Detection in Disaster Twitter Data. - Yingjie Li 008; Seoyeon Park; Cornelia Caragea; Doina Caragea; Andrea H. Tapia (ISCRAM, 2019)

Exploring Word Embeddings in CRF-based Keyphrase Extraction from Research Papers. - Krutarth Patel; Cornelia Caragea (K-CAP, 2019)

Bi-LSTM-CRF Sequence Labeling for Keyphrase Extraction from Scholarly Documents. - Rabah A. Al-Zaidy; Cornelia Caragea; C. Lee Giles (WWW, 2019)

Keyphrase Extraction from Disaster-related Tweets. - Jishnu Ray Chowdhury; Cornelia Caragea; Doina Caragea (WWW, 2019)

Dynamic Deep Multi-modal Fusion for Image Privacy Prediction. - Ashwini Tonge; Cornelia Caragea (WWW, 2019)

A Hybrid Domain Adaptation Approach for Identifying Crisis-Relevant Tweets. - Reza Mazloom; Hongmin Li 001; Doina Caragea; Cornelia Caragea; Muhammad Imran 002 (Int. J. Inf. Syst. Crisis Response Manag., 2019)

Privacy-aware Tag Recommendation for Accurate Image Privacy Prediction. - Ashwini Tonge; Cornelia Caragea (ACM Trans. Intell. Syst. Technol., 2019)

On Identifying Hashtags in Disaster Twitter Data. - Jishnu Ray Chowdhury; Cornelia Caragea; Doina Caragea (AAAI, 2020)

Exploring Abstract Concepts for Image Privacy Prediction in Social Networks (Student Abstract). - Gabriele Galfré; Cornelia Caragea (AAAI, 2020)

A Multi-Task Learning Approach to Sarcasm Detection (Student Abstract). - Edoardo Savini; Cornelia Caragea (AAAI, 2020)

Cross-Lingual Disaster-related Multi-label Tweet Classification with Manifold Mixup. - Jishnu Ray Chowdhury; Cornelia Caragea; Doina Caragea (ACL (student), 2020)

Detecting Perceived Emotions in Hurricane Disasters. - Shrey Desai; Cornelia Caragea; Junyi Jessy Li (ACL, 2020)

Scientific Keyphrase Identification and Classification by Pre-Trained Language Models Intermediate Task Transfer Learning. - Seoyeon Park; Cornelia Caragea (COLING, 2020)

COVIDSeer: Extending the CORD-19 Dataset. - Shaurya Rohatgi; Zeba Karishma; Jason Chhay; Sai Raghav Reddy Keesara; Jian Wu 006; Cornelia Caragea; C. Lee Giles (DocEng, 2020)

On the Use of Web Search to Improve Scientific Collections. - Krutarth Patel; Cornelia Caragea; Sujatha Das Gollapalli (SDP@EMNLP, 2020)

CancerEmo: A Dataset for Fine-Grained Emotion Detection. - Tiberiu Sosea; Cornelia Caragea (EMNLP (1), 2020)

Keyphrase Extraction in Scholarly Digital Library Search Engines. - Krutarth Patel; Cornelia Caragea; Jian Wu 006; C. Lee Giles (ICWS, 2020)

Identifying Documents In-Scope of a Collection from Web Archives. - Krutarth Patel; Cornelia Caragea; Mark E. Phillips; Nathaniel T. Fox (JCDL, 2020)

Dynamic Classification in Web Archiving Collections. - Krutarth Patel; Cornelia Caragea; Mark E. Phillips (LREC, 2020)

Interpretable Multi-Step Reasoning with Knowledge Extraction on Complex Healthcare Question Answering. - Ye Liu 006; Shaika Chowdhury; Chenwei Zhang; Cornelia Caragea; Philip S. Yu (CoRR, 2020)

Image Privacy Prediction Using Deep Neural Networks. - Ashwini Tonge; Cornelia Caragea (ACM Trans. Web, 2020)

It Takes Two to Empathize: One to Seek and One to Provide. - Mahshid Hosseini; Cornelia Caragea (AAAI, 2021)

Author Homepage Discovery in CiteSeerX. - Krutarth Patel; Cornelia Caragea; Doina Caragea; C. Lee Giles (AAAI, 2021)

Stance Detection in COVID-19 Tweets. - Kyle Glandt; Sarthak Khanal; Yingjie Li 008; Doina Caragea; Cornelia Caragea (ACL/IJCNLP (1), 2021)

A Multi-Task Learning Framework for Multi-Target Stance Detection. - Yingjie Li 008; Cornelia Caragea (ACL/IJCNLP (Findings), 2021)

P-Stance: A Large Dataset for Stance Detection in Political Domain. - Yingjie Li 008; Tiberiu Sosea; Aditya Sawant; Ajith Jayaraman Nair; Diana Inkpen; Cornelia Caragea (ACL/IJCNLP (Findings), 2021)

eMLM: A New Pre-training Objective for Emotion Related Tasks. - Tiberiu Sosea; Cornelia Caragea (ACL/IJCNLP (2), 2021)

Studying the Evolution of Scientific Topics and their Relationships. - Ana Sabina Uban; Cornelia Caragea; Liviu P. Dinu (ACL/IJCNLP (Findings), 2021)

Exploiting Position and Contextual Word Embeddings for Keyphrase Extraction from Scientific Papers. - Krutarth Patel; Cornelia Caragea (EACL, 2021)

Distilling Knowledge for Empathy Detection. - Mahshid Hosseini; Cornelia Caragea (EMNLP (Findings), 2021)

Improving Stance Detection with Multi-Dataset Learning and Knowledge Distillation. - Yingjie Li 008; Chenye Zhao; Cornelia Caragea (EMNLP (1), 2021)

Modeling Hierarchical Structures with Continuous Recursive Neural Networks. - Jishnu Ray Chowdhury; Cornelia Caragea (ICML, 2021)

Combining Self-training with Deep Learning for Disaster Tweet Classification. - Hongmin Li 001; Doina Caragea; Cornelia Caragea (ISCRAM, 2021)

Using the Image-Text Relationship to Improve Multimodal Disaster Tweet Classification. - Tiberiu Sosea; Iustin Sirbu; Cornelia Caragea; Doina Caragea; Traian Rebedea (ISCRAM, 2021)

Target-Aware Data Augmentation for Stance Detection. - Yingjie Li 008; Cornelia Caragea (NAACL-HLT, 2021)

Identifying Medical Self-Disclosure in Online Communities. - Mina Valizadeh; Pardis Ranjbar-Noiey; Cornelia Caragea; Natalie Parde (NAACL-HLT, 2021)

Knowledge Distillation with BERT for Image Tag-Based Privacy Prediction. - Chenye Zhao; Cornelia Caragea (RANLP, 2021)

When a crisis strikes: Emotion analysis and detection during COVID-19. - Alexander Tekle; Chau Pham 003; Cornelia Caragea; Junyi Jessy Li (CoRR, 2021)

DeepZensols: Deep Natural Language Processing Framework. - Paul Landes; Barbara Di Eugenio; Cornelia Caragea (CoRR, 2021)

Generating Summaries for Scientific Paper Review. - Ana Sabina Uban; Cornelia Caragea (CoRR, 2021)

KPDrop: An Approach to Improving Absent Keyphrase Generation. - Seoyeon Park; Jishnu Ray Chowdhury; Tuhin Kundu; Cornelia Caragea (CoRR, 2021)

Special section on mining knowledge from scientific data. - Tanmoy Chakraborty 002; Sumit Bhatia; Cornelia Caragea (Expert Syst. J. Knowl. Eng., 2021)

On the Calibration of Pre-trained Language Models using Mixup Guided by Area Under the Margin and Saliency. - Seoyeon Park; Cornelia Caragea (ACL (1), 2022)

SciNLI: A Corpus for Natural Language Inference on Scientific Text. - Mobashir Sadat; Cornelia Caragea (ACL (1), 2022)

A New Public Corpus for Clinical Section Identification: MedSecId. - Paul Landes; Kunal Patel; Sean S. Huang; Adam Webb; Barbara Di Eugenio; Cornelia Caragea (COLING, 2022)

Multimodal Semi-supervised Learning for Disaster Tweet Classification. - Iustin Sirbu; Tiberiu Sosea; Cornelia Caragea; Doina Caragea; Traian Rebedea (COLING, 2022)

Towards Summarizing Healthcare Questions in Low-Resource Setting. - Shweta Yadav 001; Cornelia Caragea (COLING, 2022)

KPDROP: Improving Absent Keyphrase Generation. - Jishnu Ray Chowdhury; Seoyeon Park; Tuhin Kundu; Cornelia Caragea (EMNLP (Findings), 2022)

Keyphrase Generation Beyond the Boundaries of Title and Abstract. - Krishna Garg; Jishnu Ray Chowdhury; Cornelia Caragea (EMNLP (Findings), 2022)

Calibrating Student Models for Emotion-related Tasks. - Mahshid Hosseini; Cornelia Caragea (EMNLP, 2022)

Hierarchical Multi-Label Classification of Scientific Documents. - Mobashir Sadat; Cornelia Caragea (EMNLP, 2022)

Learning to Infer from Unlabeled Data: A Semi-supervised Learning Approach for Robust Natural Language Inference. - Mobashir Sadat; Cornelia Caragea (EMNLP (Findings), 2022)

Leveraging Training Dynamics and Self-Training for Text Classification. - Tiberiu Sosea; Cornelia Caragea (EMNLP (Findings), 2022)

Why Do You Feel This Way? Summarizing Triggers of Emotions in Social Media Posts. - Hongli Zhan; Tiberiu Sosea; Cornelia Caragea; Junyi Jessy Li (EMNLP, 2022)

PrivacyAlert: A Dataset for Image Privacy Prediction. - Chenye Zhao; Jasmine Mangat; Sujay Koujalgi; Anna Cinzia Squicciarini; Cornelia Caragea (ICWSM, 2022)

Detecting Optimism in Tweets using Knowledge Distillation and Linguistic Analysis of Optimism. - Stefan Cobeli; Ioan-Bogdan Iordache; Shweta Yadav 001; Cornelia Caragea; Liviu P. Dinu; Dragos Iliescu (LREC, 2022)

EnsyNet: A Dataset for Encouragement and Sympathy Detection. - Tiberiu Sosea; Cornelia Caragea (LREC, 2022)

Emotion analysis and detection during COVID-19. - Tiberiu Sosea; Chau Pham 003; Alexander Tekle; Cornelia Caragea; Junyi Jessy Li (LREC, 2022)

A Data Cartography based MixUp for Pre-trained Language Models. - Seoyeon Park; Cornelia Caragea (NAACL-HLT, 2022)

On the Evaluation of Answer-Agnostic Paragraph-level Multi-Question Generation. - Jishnu Ray Chowdhury; Debanjan Mahata; Cornelia Caragea (CoRR, 2022)

Feature Normalization and Cartography-Based Demonstrations for Prompt-Based Fine-Tuning on Emotion-Related Tasks. - Mahshid Hosseini; Cornelia Caragea (AAAI, 2023)

Label Smoothing for Emotion Detection (Student Abstract). - George Maratos; Tiberiu Sosea; Cornelia Caragea (AAAI, 2023)

Towards Identifying Fine-Grained Depression Symptoms from Memes. - Shweta Yadav 001; Cornelia Caragea; Chenye Zhao; Naincy Kumari; Marvin Solberg; Tanmay Sharma (ACL (1), 2023)

Data Augmentation for Low-Resource Keyphrase Generation. - Krishna Garg; Jishnu Ray Chowdhury; Cornelia Caragea (ACL (Findings), 2023)

Semi-Supervised Domain Adaptation for Emotion-Related Tasks. - Mahshid Hosseini; Cornelia Caragea (ACL (Findings), 2023)

Distilling Calibrated Knowledge for Stance Detection. - Yingjie Li 008; Cornelia Caragea (ACL (Findings), 2023)

A New Direction in Stance Detection: Target-Stance Extraction in the Wild. - Yingjie Li 008; Krishna Garg; Cornelia Caragea (ACL (1), 2023)

Unsupervised Extractive Summarization of Emotion Triggers. - Tiberiu Sosea; Hongli Zhan; Junyi Jessy Li; Cornelia Caragea (ACL (1), 2023)

C-STANCE: A Large Dataset for Chinese Zero-Shot Stance Detection. - Chenye Zhao; Yingjie Li 008; Cornelia Caragea (ACL (1), 2023)

MarginMatch: Improving Semi-Supervised Learning with Pseudo-Margins. - Tiberiu Sosea; Cornelia Caragea (CVPR, 2023)

What Clued the AI Doctor In? On the Influence of Data Source and Quality for Transformer-Based Medical Self-Disclosure Detection. - Mina Valizadeh; Xing Qian; Pardis Ranjbar-Noiey; Cornelia Caragea; Natalie Parde (EACL, 2023)

Multi-Task Knowledge Distillation with Embedding Constraints for Scholarly Keyphrase Boundary Classification. - Seo Park; Cornelia Caragea (EMNLP, 2023)

EZ-STANCE: A Large Dataset for Zero-Shot Stance Detection. - Chenye Zhao; Cornelia Caragea (EMNLP (Findings), 2023)

JointMatch: A Unified Approach for Diverse and Collaborative Pseudo-Labeling to Semi-Supervised Text Classification. - Henry Peng Zou; Cornelia Caragea (EMNLP, 2023)

DeCrisisMB: Debiased Semi-Supervised Learning for Crisis Tweet Classification via Memory Bank. - Henry Peng Zou; Yue Zhou; Weizhi Zhang 001; Cornelia Caragea (EMNLP (Findings), 2023)

Beam Tree Recursive Cells. - Jishnu Ray Chowdhury; Cornelia Caragea (ICML, 2023)

Monotonic Location Attention for Length Generalization. - Jishnu Ray Chowdhury; Cornelia Caragea (ICML, 2023)

Efficient Beam Tree Recursion. - Jishnu Ray Chowdhury; Cornelia Caragea (NeurIPS, 2023)

Recursion in Recursion: Two-Level Nested Recursion for Length Generalization with Scalability. - Jishnu Ray Chowdhury; Cornelia Caragea (NeurIPS, 2023)

Towards Understanding Consumer Healthcare Questions on the Web with Semantically Enhanced Contrastive Learning. - Shweta Yadav 001; Stefan Cobeli; Cornelia Caragea (WWW, 2023)

Leveraging Existing Literature on the Web and Deep Neural Models to Build a Knowledge Graph Focused on Water Quality and Health Risks. - Nikita Gautam; David Shumway; Megan Kowalcyk; Sarthak Khanal; Doina Caragea; Cornelia Caragea; Hande McGinty; Samuel Dorevitch (WWW, 2023)

TTS: A Target-based Teacher-Student Framework for Zero-Shot Stance Detection. - Yingjie Li 008; Chenye Zhao; Cornelia Caragea (WWW, 2023)

Semantic Tokenizer for Enhanced Natural Language Processing. - Sandeep Mehta; Darpan Shah; Ravindra Kulkarni; Cornelia Caragea (CoRR, 2023)

Neural Keyphrase Generation: Analysis and Evaluation. - Tuhin Kundu; Jishnu Ray Chowdhury; Cornelia Caragea (CoRR, 2023)

CrisisMatch: Semi-Supervised Few-Shot Learning for Fine-Grained Disaster Tweet Classification. - Henry Peng Zou; Yue Zhou; Cornelia Caragea; Doina Caragea (CoRR, 2023)

DMDD: A Large-Scale Dataset for Dataset Mentions Detection. - Huitong Pan; Qi Zhang; Eduard C. Dragut; Cornelia Caragea; Longin Jan Latecki (Trans. Assoc. Comput. Linguistics, 2023)

Deep Gated Multi-modal Fusion for Image Privacy Prediction. - Chenye Zhao; Cornelia Caragea (ACM Trans. Web, 2023)

GunStance: Stance Detection for Gun Control and Gun Regulation. - Nikesh Gyawali; Iustin Sirbu; Tiberiu Sosea; Sarthak Khanal; Doina Caragea; Traian Rebedea; Cornelia Caragea (ACL (1), 2024)

A Novel Cartography-Based Curriculum Learning Method Applied on RoNLI: The First Romanian Natural Language Inference Corpus. - Eduard Poesina; Cornelia Caragea; Radu Tudor Ionescu (ACL (1), 2024)

Co-training for Low Resource Scientific Natural Language Inference. - Mobashir Sadat; Cornelia Caragea (ACL (1), 2024)

EZ-STANCE: A Large Dataset for English Zero-Shot Stance Detection. - Chenye Zhao; Cornelia Caragea (ACL (1), 2024)

ZeroStance: Leveraging ChatGPT for Open-Domain Stance Detection via Dataset Generation. - Chenye Zhao; Yingjie Li 008; Cornelia Caragea; Yue Zhang 004 (ACL (Findings), 2024)

ImplicitAVE: An Open-Source Dataset and Multimodal LLMs Benchmark for Implicit Attribute Value Extraction. - Henry Peng Zou; Vinay Samuel; Yue Zhou; Weizhi Zhang 001; Liancheng Fang; Zihe Song 001; Philip S. Yu; Cornelia Caragea (ACL (Findings), 2024)

Predicting Surface Water Bacteria Levels Using Transfer Learning and Domain Adaptation. - Ali Elahi; David Shumway; Megan Kowalcyk; Abhilasha Shrestha; Nikita Gautam; Doina Caragea; Cornelia Caragea; Samuel Dorevitch (IEEE Big Data, 2024)

SciDMT: A Large-Scale Corpus for Detecting Scientific Mentions. - Huitong Pan; Qi Zhang; Cornelia Caragea; Eduard C. Dragut; Longin Jan Latecki (LREC/COLING, 2024)

Sarcasm Detection in a Disaster Context. - Tiberiu Sosea; Junyi Jessy Li; Cornelia Caragea (LREC/COLING, 2024)

FlowLearn: Evaluating Large Vision-Language Models on Flowchart Understanding. - Huitong Pan; Qi Zhang; Cornelia Caragea; Eduard C. Dragut; Longin Jan Latecki (ECAI, 2024)

How Hard is this Test Set? NLI Characterization by Exploiting Training Dynamics. - Adrian Cosma; Stefan Ruseti; Mihai Dascalu; Cornelia Caragea (EMNLP, 2024)

Stanceformer: Target-Aware Transformer for Stance Detection. - Krishna Garg; Cornelia Caragea (EMNLP (Findings), 2024)

VerifyMatch: A Semi-Supervised Learning Paradigm for Natural Language Inference with Confidence-Aware MixUp. - Seoyeon Park; Cornelia Caragea (EMNLP, 2024)

SciER: An Entity and Relation Extraction Dataset for Datasets, Methods, and Tasks in Scientific Documents. - Qi Zhang; Zhijia Chen; Huitong Pan; Cornelia Caragea; Longin Jan Latecki; Eduard C. Dragut (EMNLP, 2024)

Can LLMs categorize the specialized documents from web archives in a better way? - Saran Pandian Pandi; Seoyeon Park; Praneeth Rikka; Mark Edward Phillips; Cornelia Caragea (JCDL, 2024)

MSciNLI: A Diverse Benchmark for Scientific Natural Language Inference. - Mobashir Sadat; Cornelia Caragea (NAACL-HLT, 2024)

Language Models (Mostly) Do Not Consider Emotion Triggers When Predicting Emotion. - Smriti Singh; Cornelia Caragea; Junyi Jessy Li (NAACL (Short Papers), 2024)

EIVEN: Efficient Implicit Attribute Value Extraction using Multimodal LLM. - Henry Peng Zou; Gavin Heqing Yu; Ziwei Fan 001; Dan Bu; Han Liu; Peng Dai; Dongmei Jia; Cornelia Caragea (NAACL (Industry Track), 2024)

Recurrent Transformers with Dynamic Halt. - Jishnu Ray Chowdhury; Cornelia Caragea (CoRR, 2024)

On the Design Space Between Transformers and Recursive Neural Nets. - Jishnu Ray Chowdhury; Cornelia Caragea (CoRR, 2024)

A MISMATCHED Benchmark for Scientific Natural Language Inference. - Firoz Shaik; Mobashir Sadat; Nikita Gautam; Doina Caragea; Cornelia Caragea (ACL (Findings), 2025)

Bilingual Zero-Shot Stance Detection. - Chenye Zhao; Cornelia Caragea (ACL (1), 2025)

Active Few-Shot Learning for Text Classification. - Saeed Ahmadnia; Arash Yousefi Jordehi; Mahsa Hosseini Khasheh Heyran; Seyed Abolghasem Mirroshandel; Owen Rambow; Cornelia Caragea (NAACL (Long Papers), 2025)

Zero-Shot Keyphrase Generation: Investigating Specialized Instructions and Multi-sample Aggregation on Large Language Models. - Jishnu Ray Chowdhury; Jayanth Mohan; Tomás Malík; Cornelia Caragea (NAACL (Findings), 2025)

Hard Emotion Test Evaluation Sets for Language Models. - Tiberiu Sosea; Cornelia Caragea (NAACL (Findings), 2025)

DynClean: Training Dynamics-based Label Cleaning for Distantly-Supervised Named Entity Recognition. - Qi Zhang; Huitong Pan; Zhijia Chen; Longin Jan Latecki; Cornelia Caragea; Eduard C. Dragut (NAACL (Findings), 2025)

Zero-Shot Verification-guided Chain of Thoughts. - Jishnu Ray Chowdhury; Cornelia Caragea (CoRR, 2025)

MultiMatch: Multihead Consistency Regularization Matching for Semi-Supervised Text Classification. - Iustin Sirbu; Robert-Adrian Popovici; Cornelia Caragea; Stefan Trausan-Matu; Traian Rebedea (CoRR, 2025)

Let's Use ChatGPT To Write Our Paper! Benchmarking LLMs To Write the Introduction of a Research Paper. - Krishna Garg; Firoz Shaik; Sambaran Bandyopadhyay; Cornelia Caragea (CoRR, 2025)