| Predicting stances in twitter conversations for detecting veracity of rumors: A neural approach L Poddar, W Hsu, ML Lee, S Subramaniyam 2018 IEEE 30th international conference on tools with artificial …, 2018 | 49 | 2018 |
| Author-aware aspect topic sentiment model to retrieve supporting opinions from reviews L Poddar, W Hsu, ML Lee Proceedings of the 2017 Conference on Empirical Methods in Natural Language …, 2017 | 30 | 2017 |
| Modeling temporal progression of emotional status in mental health forum: A recurrent neural net approach K Halder, L Poddar, MY Kan Proceedings of the 8th Workshop on Computational Approaches to Subjectivity …, 2017 | 21 | 2017 |
| Cold start thread recommendation as extreme multi-label classification K Halder, L Poddar, MY Kan Companion Proceedings of the The Web Conference 2018, 1911-1918, 2018 | 19 | 2018 |
| Train One Get One Free: Partially Supervised Neural Network for Bug Report Duplicate Detection and Clustering L Poddar, L Neves, W Brendel, L Marujo, S Tulyakov, P Karuturi NAACL 2019, 2019 | 16 | 2019 |
| IndoNet: A multilingual lexical knowledge network for indian languages B Bhatt, L Poddar, P Bhattacharyya Proceedings of the 51st Annual Meeting of the Association for Computational …, 2013 | 7 | 2013 |
| Quantifying Aspect Bias in Ordinal Ratings using a Bayesian Approach L Poddar, W Hsu, ML Lee International Joint Conference on Artificial Intelligence 2017, 2017 | 5 | 2017 |
| Predicting user reported symptoms using a gated neural network L Poddar, W Hsu, ML Lee 2019 IEEE 31st International Conference on Tools with Artificial …, 2019 | 4 | 2019 |
| DialAug: Mixing up Dialogue Contexts in Contrastive Learning for Robust Conversational Modeling L Poddar, P Wang, J Reinspach COLING 2022, 2022 | 3 | 2022 |
| Attention guided dialogue state tracking with sparse supervision S Liang, L Poddar, G Szarvas arXiv preprint arXiv:2101.11958, 2021 | 3 | 2021 |
| Sentiment Analysis for Twitter: Going Beyond Tweet Text L Poddar, K Halder, X Jia arXiv preprint arXiv:1611.09441, 2016 | 2 | 2016 |
| Calibrating imbalanced classifiers with focal loss: An empirical study C Wang, G Balazs, G Szarvas, P Ernst, L Poddar, P Danchenko EMNLP 2022, 2022 | 1 | 2022 |
| Multilingual multiword expressions L Poddar arXiv preprint arXiv:1612.00246, 2016 | 1 | 2016 |
| Entropy in NLP A Dan, L Poddar, A Ganesan, P Bhattacharyya Indian Institute of Technology Bombay, 2012 | 1 | 2012 |
| Few shot rationale generation using self-training with dual teachers AS Veerubhotla, L Poddar, J Yin, G Szarvas, S Eswaran arXiv preprint arXiv:2306.03315, 2023 | | 2023 |
| Deploying a retrieval based response model for task oriented dialogues L Poddar, G Szarvas, C Wang, J Balazs, P Danchenko, P Ernst EMNLP 2022, 2022 | | 2022 |
| A Probabilistic Framework for Learning Domain Specific Hierarchical Word Embeddings L Poddar, G Szarvas, L Frermann arXiv preprint arXiv:1910.07333, 2019 | | 2019 |
| Methods for Improving Usability of Online User Generated Content L Poddar Department of Computer Science School of Computing National University of …, 2019 | | 2019 |
| TSR: Two-level Secure Re-routing in Mobile Ad Hoc Networks D Bhattacharyya, HN Saha, L Poddar, D Das, A Moitra, S Dutta | | |
Wynne HSUProfessor of Computer Science, National Univeristy of SingaporeZweryfikowany adres z comp.nus.edu.sg
