| 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 | 13* | 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 | 10 | 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 | 9 | 2021 |
| 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 (7), 2022 | 7 | 2022 |
| Toward a Data-Driven Theory of Narrativity A Piper, S Bagga New Literary History 54 (1), 879-901, 2022 | 5 | 2022 |
| A Quantitative Study of Fictional Things A Piper, S Bagga Proceedings http://ceur-ws. org ISSN 1613, 0073, 2022 | 3 | 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 The 4th Joint SIGHUM Workshop on Computational …, 2020 | 2 | 2020 |
| Detecting Abuse on the Internet: It's Subtle S Bagga McGill University (Canada), 2020 | 2 | 2020 |
| A comparative study of sentiment and topics in migration related tweets. SA Moody, S Bagga DH, 2020 | | 2020 |
