| Diversity driven attention model for query-based abstractive summarization P Nema, M Khapra, A Laha, B Ravindran The 55th Annual Meeting of the Association of Computational Linguistics, 2017, 2017 | 215 | 2017 |
| Towards a better metric for evaluating question generation systems P Nema, MM Khapra Conference on Empirical Methods in Natural Language Processing, 2018, 2018 | 129 | 2018 |
| Towards Transparent and Explainable Attention Models AK Mohankumar, P Nema, S Narasimhan, MM Khapra, BV Srinivasan, ... The 58th Annual Meeting of the Association of Computational Linguistics, 2020, 2020 | 97 | 2020 |
| Let's Ask Again: Refine Network for Automatic Question Generation P Nema, AK Mohankumar, MM Khapra, BV Srinivasan, B Ravindran Conference on Empirical Methods in Natural Language Processing, 2019, 2019 | 61 | 2019 |
| Generating descriptions from structured data using a bifocal attention mechanism and gated orthogonalization P Nema, S Shetty, P Jain, A Laha, K Sankaranarayanan, MM Khapra The 16th Annual Conference of the North American Chapter of the Association …, 2018 | 40 | 2018 |
| Analyzing user perspectives on mobile app privacy at scale P Nema, P Anthonysamy, N Taft, ST Peddinti Proceedings of the 44th International Conference on Software Engineering …, 2022 | 39 | 2022 |
| Disentangling Preference Representations for Recommendation Critiquing with β-VAE P Nema, A Karatzoglou, F Radlinski 30th ACM International Conference on Information and Knowledge Management, 9, 2021 | 33* | 2021 |
| ElimiNet: A Model for Eliminating Options for Reading Comprehension with Multiple Choice Questions S Parikh, A Sai, P Nema, M Khapra Proceedings of the Twenty-Seventh International Joint Conference on …, 2018 | 32* | 2018 |
| A mixed hierarchical attention based encoder-decoder approach for standard table summarization P Jain, A Laha, K Sankaranarayanan, P Nema, MM Khapra, S Shetty The 16th Annual Conference of the North American Chapter of the Association …, 2018 | 32 | 2018 |
| Towards Interpreting BERT for Reading Comprehension Based QA S Ramnath, P Nema, D Sahni, MM Khapra EMNLP, 2020, 4 pages, 2020 | 25 | 2020 |
| The heads hypothesis: A unifying statistical approach towards understanding multi-headed attention in bert M Pande, A Budhraja, P Nema, P Kumar, MM Khapra Proceedings of the AAAI conference on artificial intelligence 35 (15), 13613 …, 2021 | 18 | 2021 |
| On the weak link between importance and prunability of attention heads A Budhraja, M Pande, P Nema, P Kumar, M M. Khapra EMNLP, 2020, 6, 2020 | 9 | 2020 |
| T-STAR: Truthful style transfer using AMR graph as intermediate representation A Jangra, P Nema, A Raghuveer arXiv preprint arXiv:2212.01667, 2022 | 6 | 2022 |
| On the importance of local information in transformer based models M Pande, A Budhraja, P Nema, P Kumar, MM Khapra arXiv preprint arXiv:2008.05828, 2020 | 3 | 2020 |
| Untangle: Critiquing Disentangled Recommendations P Nema, A Karatzoglou, F Radlinski | 2 | 2021 |
| ReTAG: Reasoning Aware Table to Analytic Text Generation D Ghosal, P Nema, A Raghuveer arXiv preprint arXiv:2305.11826, 2023 | 1 | 2023 |
| STOAT: Structured Data to Analytical Text With Controls. D Ghosal, P Nema, A Raghuveer CoRR, 2023 | | 2023 |
| A Framework for Rationale Extraction for Deep QA models S Ramnath, P Nema, D Sahni, MM Khapra arXiv preprint arXiv:2110.04620, 2021 | | 2021 |
| Frustratingly Poor Performance of Reading Comprehension Models on Non-adversarial Examples S Parikh, AB Sai, P Nema, MM Khapra arXiv preprint arXiv:1904.02665, 2019 | | 2019 |
| Encode Attend Refine Decode Enriching Contextual Representations For Natural Language Generation P NEMA Chennai, 0 | | |
Mitesh KhapraIndian Institute of Technology MadrasBestätigte E-Mail-Adresse bei cse.iitm.ac.in
