| Diverse Few-Shot Text Classification with Multiple Metrics M Yu, X Guo, J Yi, S Chang, S Potdar, Y Cheng, G Tesauro, H Wang, ... Proceedings of the 2018 Conference of the North American Chapter of the …, 2018 | 204 | 2018 |
| Neural Models for Sequence Chunking F Zhai, S Potdar, B Xiang, B Zhou AAAI Conference on Artificial Intelligence, 2017 | 117 | 2017 |
| Extracting Multiple-Relations in One-Pass with Pre-Trained Transformers H Wang, M Tan, M Yu, S Chang, D Wang, K Xu, X Guo, S Potdar Proceedings of the 57th Annual Meeting of the Association for Computational …, 2019 | 97 | 2019 |
| Latent contextual bandits and their application to personalized recommendations for new users L Zhou, E Brunskill arXiv preprint arXiv:1604.06743, 2016 | 50 | 2016 |
| Identifying student leaders from MOOC discussion forums through language influence S Moon, S Potdar, L Martin Proceedings of the EMNLP 2014 Workshop on Analysis of Large Scale Social …, 2014 | 38 | 2014 |
| Out-of-Domain Detection for Low-Resource Text Classification Tasks M Tan, Ming and Yu, Yang and Wang, Haoyu and Wang, Dakuo and Potdar, Saloni ... Proceedings of the 2019 Conference on Empirical Methods in Natural Language …, 2019 | 35* | 2019 |
| Improved text classification via contrastive adversarial training L Pan, CW Hang, A Sil, S Potdar Proceedings of the AAAI Conference on Artificial Intelligence 36 (10), 11130 …, 2022 | 22 | 2022 |
| Context-Aware Conversation Thread Detection in Multi-Party Chat M Tan, D Wang, Y Gao, H Wang, S Potdar, X Guo, S Chang, M Yu Proceedings of the 2019 Conference on Empirical Methods in Natural Language …, 2019 | 19 | 2019 |
| Multilingual BERT Post-Pretraining Alignment L Pan, CW Hang, H Qi, A Shah, M Yu, S Potdar arXiv preprint arXiv:2010.12547, 2020 | 16 | 2020 |
| Cross-domain multi-task learning for text classification M Tan, H Wang, L Kunc, Y Yu, S Potdar US Patent 10,937,416, 2021 | 8 | 2021 |
| Frustratingly Hard Evidence Retrieval for QA Over Books X Mou, M Yu, B Yao, C Yang, X Guo, S Potdar, H Su arXiv preprint arXiv:2007.09878, 2020 | 8 | 2020 |
| Adversarial training data augmentation data for text classifiers M Tan, R Wang, I Padhi, S Potdar US Patent 11,093,707, 2021 | 7 | 2021 |
| Benchmarking Commercial Intent Detection Services with Practice-Driven Evaluations H Qi, L Pan, A Sood, A Shah, L Kunc, M Yu, S Potdar Proceedings of the 2021 Conference of the North American Chapter of the …, 2021 | 7 | 2021 |
| Conversational AI A Freed Simon and Schuster, 2021 | 6 | 2021 |
| Narrative Question Answering with Cutting-Edge Open-Domain QA Techniques: A Comprehensive Study X Mou, C Yang, M Yu, B Yao, X Guo, S Potdar, H Su Transactions of the Association for Computational Linguistics 9, 1032-1046, 2021 | 6 | 2021 |
| Updating an online multi-domain sentence representation generation module of a text classification system M Tan, L Kunc, Y Yu, H Wang, S Potdar US Patent 11,120,225, 2021 | 4 | 2021 |
| Benchmarking Commercial Intent Detection Services with Practice-Driven Evaluations H Qi, L Pan, A Sood, A Shah, L Kunc, M Yu, S Potdar arXiv preprint arXiv:2012.03929, 2020 | 4* | 2020 |
| Displaying text classification anomalies predicted by a text classification model M Tan, S Potdar, L Krishnamurthy US Patent 11,068,656, 2021 | 3 | 2021 |
| Weighting features for an intent classification system Y Yu, L Kunc, H Wang, M Tan, S Potdar US Patent 10,977,445, 2021 | 3 | 2021 |
| Robust Task Clustering for Deep Many-Task Learning M Yu, X Guo, J Yi, S Chang, S Potdar, G Tesauro, H Wang, B Zhou arXiv preprint arXiv:1708.07918, 2017 | 3 | 2017 |
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