Cornelia Caragea

According to our database1, Cornelia Caragea authored at least 119 papers between 2005 and 2020.

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Bibliography

2020
Image Privacy Prediction Using Deep Neural Networks.
ACM Trans. Web, 2020

Interpretable Multi-Step Reasoning with Knowledge Extraction on Complex Healthcare Question Answering.
CoRR, 2020

Dynamic Classification in Web Archiving Collections.
Proceedings of The 12th Language Resources and Evaluation Conference, 2020

Identifying Documents In-Scope of a Collection from Web Archives.
Proceedings of the JCDL '20: Proceedings of the ACM/IEEE Joint Conference on Digital Libraries in 2020, 2020

Keyphrase Extraction in Scholarly Digital Library Search Engines.
Proceedings of the Web Services - ICWS 2020, 2020

CancerEmo: A Dataset for Fine-Grained Emotion Detection.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

On the Use of Web Search to Improve Scientific Collections.
Proceedings of the First Workshop on Scholarly Document Processing, 2020

COVIDSeer: Extending the CORD-19 Dataset.
Proceedings of the DocEng '20: ACM Symposium on Document Engineering 2020, Virtual Event, CA, USA, September 29, 2020

Scientific Keyphrase Identification and Classification by Pre-Trained Language Models Intermediate Task Transfer Learning.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

Detecting Perceived Emotions in Hurricane Disasters.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Cross-Lingual Disaster-related Multi-label Tweet Classification with Manifold Mixup.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop, 2020

A Multi-Task Learning Approach to Sarcasm Detection (Student Abstract).
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Exploring Abstract Concepts for Image Privacy Prediction in Social Networks (Student Abstract).
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

On Identifying Hashtags in Disaster Twitter Data.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Privacy-aware Tag Recommendation for Accurate Image Privacy Prediction.
ACM Trans. Intell. Syst. Technol., 2019

A Hybrid Domain Adaptation Approach for Identifying Crisis-Relevant Tweets.
Int. J. Inf. Syst. Crisis Response Manag., 2019

Dynamic Deep Multi-modal Fusion for Image Privacy Prediction.
Proceedings of the World Wide Web Conference, 2019

Keyphrase Extraction from Disaster-related Tweets.
Proceedings of the World Wide Web Conference, 2019

Bi-LSTM-CRF Sequence Labeling for Keyphrase Extraction from Scholarly Documents.
Proceedings of the World Wide Web Conference, 2019

Exploring Word Embeddings in CRF-based Keyphrase Extraction from Research Papers.
Proceedings of the 10th International Conference on Knowledge Capture, 2019

Sympathy Detection in Disaster Twitter Data.
Proceedings of the 16th International Conference on Information Systems for Crisis Response and Management, 2019

Identifying Disaster Damage Images Using a Domain Adaptation Approach.
Proceedings of the 16th International Conference on Information Systems for Crisis Response and Management, 2019

Refining a Coding Scheme to Identify Actionable Information on Social Media.
Proceedings of the 16th International Conference on Information Systems for Crisis Response and Management, 2019

Multi-Task Stance Detection with Sentiment and Stance Lexicons.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

The Myth of Double-Blind Review Revisited: ACL vs. EMNLP.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Paths to Empathy: Heterogeneous Effects of Reading Personal Stories Online.
Proceedings of the 2019 IEEE International Conference on Data Science and Advanced Analytics, 2019

Dynamically Identifying Deep Multimodal Features for Image Privacy Prediction.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Cleaning Noisy and Heterogeneous Metadata for Record Linking across Scholarly Big Datasets.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Machine Learning in Computational Biology.
Proceedings of the Encyclopedia of Database Systems, Second Edition, 2018

Vertical Ensemble Co-Training for Text Classification.
ACM Trans. Intell. Syst. Technol., 2018

Domain Adaptation for Crisis Data Using Correlation Alignment and Self-Training.
Int. J. Inf. Syst. Crisis Response Manag., 2018

On the Use of "Deep" Features for Online Image Sharing.
Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018

Fine-Grained Information Identification in Health Related Posts.
Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

Deep Neural Networks versus Naive Bayes Classifiers for Identifying Informative Tweets during Disasters.
Proceedings of the 15th International Conference on Information Systems for Crisis Response and Management, 2018

Classification of Twitter Disaster Data Using a Hybrid Feature-Instance Adaptation Approach.
Proceedings of the 15th International Conference on Information Systems for Crisis Response and Management, 2018

Privacy-Aware Tag Recommendation for Image Sharing.
Proceedings of the 29th on Hypertext and Social Media, 2018

Venue Classification of Research Papers in Scholarly Digital Libraries.
Proceedings of the Digital Libraries for Open Knowledge, 2018

Fine-Grained Emotion Detection in Health-Related Online Posts.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Exploring Optimism and Pessimism in Twitter Using Deep Learning.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Uncovering Scene Context for Predicting Privacy of Online Shared Images.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Identifying Emotional Support in Online Health Communities.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Toward Automated Online Photo Privacy.
ACM Trans. Web, 2017

From Tag to Protect: A Tag-Driven Policy Recommender System for Image Sharing.
Proceedings of the 15th Annual Conference on Privacy, Security and Trust, 2017

Towards Practical Usage of a Domain Adaptation Algorithm in the Early Hours of a Disaster.
Proceedings of the 14th Proceedings of the International Conference on Information Systems for Crisis Response and Management, 2017

Identifying Empathetic Messages in Online Health Communities.
Proceedings of the Eighth International Joint Conference on Natural Language Processing, 2017

A Group-Based Personalized Model for Image Privacy Classification and Labeling.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

A New Scheme for Scoring Phrases in Unsupervised Keyphrase Extraction.
Proceedings of the Advances in Information Retrieval, 2017

PositionRank: An Unsupervised Approach to Keyphrase Extraction from Scholarly Documents.
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

A Position-Biased PageRank Algorithm for Keyphrase Extraction.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Predicting Tweet Retweetability during Hurricane Disasters.
Int. J. Inf. Syst. Crisis Response Manag., 2016

A Search/Crawl Framework for Automatically Acquiring Scientific Documents.
CoRR, 2016

Reports of the 2016 AAAI Workshop Program.
AI Mag., 2016

Retweetability Analysis and Prediction during Hurricane Sandy.
Proceedings of the 13th Proceedings of the International Conference on Information Systems for Crisis Response and Management, 2016

Tweet Factors Influencing Trust and Usefulness During Both Man-Made and Natural Disasters.
Proceedings of the 13th Proceedings of the International Conference on Information Systems for Crisis Response and Management, 2016

An Emotional Step Towards Automated Trust Detection in Crisis Social Media.
Proceedings of the 13th Proceedings of the International Conference on Information Systems for Crisis Response and Management, 2016

Identifying Informative Messages in Disasters using Convolutional Neural Networks.
Proceedings of the 13th Proceedings of the International Conference on Information Systems for Crisis Response and Management, 2016

Content-Driven Detection of Cyberbullying on the Instagram Social Network.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Supervised Keyphrase Extraction as Positive Unlabeled Learning.
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

Image Privacy Prediction Using Deep Features.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

MetaSeer.STEM: Towards Automating Meta-Analyses.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

Document Type Classification in Online Digital Libraries.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
Improving Researcher Homepage Classification with Unlabeled Data.
ACM Trans. Web, 2015

Privacy Prediction of Images Shared on Social Media Sites Using Deep Features.
CoRR, 2015

Entity-Specific Sentiment Classification of Yahoo News Comments.
CoRR, 2015

CiteSeerX: AI in a Digital Library Search Engine.
AI Mag., 2015

Reports from the 2015 AAAI Workshop Program.
AI Mag., 2015

The Importance of Pronouns to Sentiment Analysis: Online Cancer Survivor Network Case Study.
Proceedings of the 24th International Conference on World Wide Web Companion, 2015

A Comparison of Supervised Keyphrase Extraction Models.
Proceedings of the 24th International Conference on World Wide Web Companion, 2015

PDFMEF: A Multi-Entity Knowledge Extraction Framework for Scholarly Documents and Semantic Search.
Proceedings of the 8th International Conference on Knowledge Capture, 2015

Twitter Mining for Disaster Response: A Domain Adaptation Approach.
Proceedings of the 12th Proceedings of the International Conference on Information Systems for Crisis Response and Management, 2015

Co-Training for Topic Classification of Scholarly Data.
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

Using Subjectivity Analysis to Improve Thread Retrieval in Online Forums.
Proceedings of the Advances in Information Retrieval, 2015

An Analysis of Twitter Data on E-cigarette Sentiments and Promotion.
Proceedings of the Artificial Intelligence in Medicine, 2015

2014
Using non-lexical features for identifying factual and opinionative threads in online forums.
Knowl. Based Syst., 2014

Keyword and Keyphrase Extraction Using Centrality Measures on Collocation Networks.
CoRR, 2014

Document Analysis and Retrieval Tasks in Scientific Digital Libraries.
Proceedings of the Information Retrieval, 2014

Mapping moods: Geo-mapped sentiment analysis during hurricane sandy.
Proceedings of the 11th Proceedings of the International Conference on Information Systems for Crisis Response and Management, 2014

Playscript Classification and Automatic Wikipedia Play Articles Generation.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014

Analyzing images' privacy for the modern web.
Proceedings of the 25th ACM Conference on Hypertext and Social Media, 2014

Citation-Enhanced Keyphrase Extraction from Research Papers: A Supervised Approach.
Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, 2014

CiteSeer x : A Scholarly Big Dataset.
Proceedings of the Advances in Information Retrieval, 2014

Identifying Emotional and Informational Support in Online Health Communities.
Proceedings of the COLING 2014, 2014

Identifying valuable information from twitter during natural disasters.
Proceedings of the Connecting Collections, Cultures, and Communities, 2014

Towards building a collection of web archiving research articles.
Proceedings of the Connecting Collections, Cultures, and Communities, 2014

CiteSeerX: AI in a Digital Library Search Engine.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

Extracting Keyphrases from Research Papers Using Citation Networks.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013
Researcher homepage classification using unlabeled data.
Proceedings of the 22nd International World Wide Web Conference, 2013

Improving Sentiment Analysis in an Online Cancer Survivor Community Using Dynamic Sentiment Lexicon.
Proceedings of the 2013 International Conference on Social Intelligence and Technology, 2013

Can't see the forest for the trees?: a citation recommendation system.
Proceedings of the 13th ACM/IEEE-CS Joint Conference on Digital Libraries, 2013

2013 international workshop on computational scientometrics: theory and applications.
Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

Predicting Subjectivity Orientation of Online Forum Threads.
Proceedings of the Computational Linguistics and Intelligent Text Processing, 2013

Co-training over domain-independent and domain-dependent features for sentiment analysis of an online cancer support community.
Proceedings of the Advances in Social Networks Analysis and Mining 2013, 2013

2012
Specialized Research Datasets in the CiteSeer<sup>x</sup> Digital Library.
D Lib Mag., 2012

Protein-RNA interface residue prediction using machine learning: an assessment of the state of the art.
BMC Bioinform., 2012

Thread Specific Features are Helpful for Identifying Subjectivity Orientation of Online Forum Threads.
Proceedings of the COLING 2012, 2012

Recommending citations: translating papers into references.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

I want what i need!: analyzing subjectivity of online forum threads.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

Combining Hashing and Abstraction in Sparse High Dimensional Feature Spaces.
Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

2011
Get Online Support, Feel Better - Sentiment Analysis and Dynamics in an Online Cancer Survivor Community.
Proceedings of the PASSAT/SocialCom 2011, Privacy, 2011

Classifying Scientific Publications Using Abstract Features.
Proceedings of the Ninth Symposium on Abstraction, Reformulation, and Approximation, 2011

On identifying academic homepages for digital libraries.
Proceedings of the 2011 Joint International Conference on Digital Libraries, 2011

Classifying text messages for the haiti earthquake.
Proceedings of the 8th Proceedings of the International Conference on Information Systems for Crisis Response and Management, 2011

Context Sensitive Topic Models for Author Influence in Document Networks.
Proceedings of the IJCAI 2011, 2011

Protein Sequence Classification Using Feature Hashing.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2011

2010
Struct-NB: predicting protein-RNA binding sites using structural features.
Int. J. Data Min. Bioinform., 2010

Semi-supervised prediction of protein subcellular localization using abstraction augmented Markov models.
BMC Bioinform., 2010

Abstraction Augmented Markov Models.
Proceedings of the ICDM 2010, 2010

Semi-supervised sequence classification using abstraction augmented Markov models.
Proceedings of the First ACM International Conference on Bioinformatics and Computational Biology, 2010

2009
Machine Learning in Computational Biology.
Proceedings of the Encyclopedia of Database Systems, 2009

Mixture of experts models to exploit global sequence similarity on biomolecular sequence labeling.
BMC Bioinform., 2009

Learning Link-Based Naïve Bayes Classifiers from Ontology-Extended Distributed Data.
Proceedings of the On the Move to Meaningful Internet Systems: OTM 2009, 2009

Learning Link-Based Classifiers from Ontology-Extended Textual Data.
Proceedings of the ICTAI 2009, 2009

Combining Super-Structuring and Abstraction on Sequence Classification.
Proceedings of the ICDM 2009, 2009

2008
Learning Classifiers from Large Databases Using Statistical Queries.
Proceedings of the 2008 IEEE / WIC / ACM International Conference on Web Intelligence, 2008

Striking Similarities in Diverse Telomerase Proteins Revealed by Combining Structure Prediction and Machine Learning Approaches.
Proceedings of the Biocomputing 2008, 2008

Using Global Sequence Similarity to Enhance Biological Sequence Labeling.
Proceedings of the 2008 IEEE International Conference on Bioinformatics and Biomedicine, 2008

2007
Glycosylation site prediction using ensembles of Support Vector Machine classifiers.
BMC Bioinform., 2007

Assessing the Performance of Macromolecular Sequence Classifiers.
Proceedings of the 7th IEEE International Conference on Bioinformatics and Bioengineering, 2007

2005
Learning Support Vector Machines from Distributed Data Sources.
Proceedings of the Proceedings, 2005


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