Revisiting Pre-trained Language Models and their Evaluation for Arabic Natural Language Processing A Ghaddar, Y Wu, S Bagga, A Rashid, K Bibi, M Rezagholizadeh, C Xing, ... Proceedings of the 2022 Conference on Empirical Methods in Natural Language …, 2022 | 17* | 2022 |
Detecting narrativity across long time scales A Piper, S Bagga, L Monteiro, A Yang, M Labrosse, YL Liu Proceedings http://ceur-ws. org ISSN 1613, 0073, 2021 | 11 | 2021 |
“Are you kidding me?”: Detecting Unpalatable Questions on Reddit S Bagga, A Piper, D Ruths Proceedings of the 16th Conference of the European Chapter of the …, 2021 | 10 | 2021 |
Toward a Data-Driven Theory of Narrativity A Piper, S Bagga New Literary History 54 (1), 879-901, 2022 | 8 | 2022 |
HATHI 1M: Introducing a million page historical prose dataset in English from the Hathi Trust S Bagga, A Piper Journal of Open Humanities Data 8, 2022 | 7 | 2022 |
A Quantitative Study of Fictional Things. A Piper, S Bagga CHR, 268-279, 2022 | 4 | 2022 |
Opportunistic self organizing migrating algorithm for real-time dynamic traveling salesman problem S Dokania, S Bagga, R Sharma 2017 51st Annual Conference on Information Sciences and Systems (CISS), 1-6, 2017 | 3 | 2017 |
Measuring the effects of bias in training data for literary classification S Bagga, A Piper Proceedings of the 4th Joint SIGHUM Workshop on Computational Linguistics …, 2020 | 2 | 2020 |
Detecting Abuse on the Internet: It's Subtle S Bagga McGill University (Canada), 2020 | 2 | 2020 |
EWEK-QA: Enhanced Web and Efficient Knowledge Graph Retrieval for Citation-based Question Answering Systems M Dehghan, MA Alomrani, S Bagga, D Alfonso-Hermelo, K Bibi, ... arXiv preprint arXiv:2406.10393, 2024 | | 2024 |
A comparative study of sentiment and topics in migration related tweets. SA Moody, S Bagga DH, 2020 | | 2020 |