On detecting urgency in short crisis messages using minimal supervision and transfer learning (original) (raw)
Related papers
Low-supervision urgency detection and transfer in short crisis messages
Proceedings of the 2019 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining
Detecting Urgency Status of Crisis Tweets: A Transfer Learning Approach for Low Resource Languages
2020
Proceedings of the International AAAI Conference on Web and Social Media
Cross-Language Domain Adaptation for Classifying Crisis-Related Short Messages
ArXiv, 2016
Are Sudden Crises Making me Collapse? Measuring Transfer Learning Performances on Urgency Detection
HAL (Le Centre pour la Communication Scientifique Directe), 2022
Early detection of heterogeneous disaster events using social media
Journal of the Association for Information Science and Technology
arXiv (Cornell University), 2020
Detecting mass emergency events on social media: one classification problem or many?
2016
Multi-task learning in crisis event classification
Cross-Lingual and Cross-Domain Crisis Classification for Low-Resource Scenarios
arXiv (Cornell University), 2022
2018
Proceedings of the 27th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems
A language-agnostic approach to exact informative tweets during emergency situations
2017 IEEE International Conference on Big Data (Big Data), 2017
Beyond Deep Learning: A Two-Stage Approach to Classifying Disaster Events and Needs
2024 International Conference on Information and Communication Technologies for Disaster Management (ICT-DM)
HumAID: Human-Annotated Disaster Incidents Data from Twitter with Deep Learning Benchmarks
2021
jiawen liu, Sarah Vieweg, Leysia Palen
Identifying Disaster-related Tweets: A Large-Scale Detection Model Comparison
ISCRAM 2021 Conference Proceedings – 18th International Conference on Information Systems for Crisis Response and Management, 2021
Proceedings of the 53rd Hawaii International Conference on System Sciences
Classification of multi-modal Natural Disaster Tweets
2020
WARSE The World Academy of Research in Science and Engineering
International Journal of Advanced Trends in Computer Science and Engineering (IJATCSE), 2020
Verifying baselines for crisis event information classification on Twitter
2020
Ashwin Devaraj, Aman Dontula, Dhiraj Murthy
International Journal of Disaster Risk Reduction, 2020
2021
Robust Training of Social Media Image Classification Models for Rapid Disaster Response
arXiv (Cornell University), 2021
Processing Social Media Messages in Mass Emergency: A Survey
Survey on Identification and Classification of Informative Tweets During Disasters
International Journal for Research in Applied Science & Engineering Technology (IJRASET), 2022
CrisisBERT: a Robust Transformer for Crisis Classification and Contextual Crisis Embedding
arXiv (Cornell University), 2020
IRJET- Identification of Informative Tweet during Disasters
IRJET, 2021
IEEE Access, 2021
Effective Tweets Classification for Disaster Crisis based on Ensemble of Classifiers
Research Square (Research Square), 2023
Using a combination of human insights and 'deep learning' for real-time disaster communication
Keri K . Stephens, Dhiraj Murthy
Progress in Disaster Science, 2019
Coordinating human and machine intelligence to classify microblog communications in crises