Class specific TF-IDF boosting for short-text classification: Application to short-texts generated during disasters S Ghosh, MS Desarkar Companion Proceedings of the The Web Conference 2018, 1629-1637, 2018 | 67 | 2018 |
Using social media for classifying actionable insights in disaster scenario S Ghosh, PK Srijith, MS Desarkar International Journal of Advances in Engineering Sciences and Applied …, 2017 | 15 | 2017 |
GNoM: Graph Neural Network Enhanced Language Models for Disaster Related Multilingual Text Classification S Ghosh, S Maji, MS Desarkar WebSci '22: 14th ACM Web Science Conference 2022, Pages 55–65, 2022 | 14* | 2022 |
Unsupervised Domain Adaptation With Global and Local Graph Neural Networks Under Limited Supervision and Its Application to Disaster Response S Ghosh, S Maji, MS Desarkar IEEE Transactions on Computational Social Systems 10 (2), 551-562, 2022 | 7* | 2022 |
Semi-supervised granular classification framework for resource constrained short-texts: Towards retrieving situational information during disaster events S Ghosh, MS Desarkar Proceedings of the 12th ACM Conference on Web Science, 29-38, 2020 | 7 | 2020 |
Effective utilization of labeled data from related tasks using graph contrastive pretraining: Application to disaster related text classification S Ghosh, S Maji, MS Desarkar Proceedings of the 37th ACM/SIGAPP Symposium on Applied Computing, 875-878, 2022 | 1 | 2022 |
Supervised Graph Contrastive Pretraining for Text Classification S Ghosh, S Maji, MS Desarkar https://arxiv.org/abs/2112.11389, 2021 | 1 | 2021 |
Towards limited supervision in utilizing social media for disaster response S Ghosh Kandi, 2022 | | 2022 |
Unsupervised Domain Adaptation with Global and Local Graph Neural Networks in Limited Labeled Data Scenario S Ghosh, S Maji, MS Desarkar | | |