Stance detection in COVID-19 tweets K Glandt, S Khanal, Y Li, D Caragea, C Caragea Proceedings of the 59th annual meeting of the association for computational …, 2021 | 111 | 2021 |
Multi-task Learning to Enable Location Mention Identification in the Early Hours of a Crisis Event S Khanal, D Caragea Findings of the Association for Computational Linguistics: EMNLP 2021, 4051-4056, 2021 | 9 | 2021 |
Identification of fine-grained location mentions in crisis tweets S Khanal, M Traskowsky, D Caragea arXiv preprint arXiv:2111.06334, 2021 | 5 | 2021 |
Abstractive text summarization of disaster-related document NM Nafi, A Bose, S Khanal, D Caragea, WH Hsu ISCRAM 2020 Conference Proceedings–17th International Conference on …, 2020 | 5 | 2020 |
Using content analysis and machine learning to identify Covid-19 information relevant to low-income households on social media S Khanal, R Refati, K Glandt, D Caragea, S Xu, C Chen 2021 IEEE Intl Conf on Parallel & Distributed Processing with Applications …, 2021 | 3 | 2021 |
Leveraging Existing Literature on the Web and Deep Neural Models to Build a Knowledge Graph Focused on Water Quality and Health Risks N Gautam, D Shumway, M Kowalcyk, S Khanal, D Caragea, C Caragea, ... Proceedings of the ACM Web Conference 2023, 4161-4171, 2023 | | 2023 |
Applications of deep learning in extracting actionable information from crisis-related social media content S Khanal Kansas State University, 2022 | | 2022 |