| Lc-quad: A corpus for complex question answering over knowledge graphs P Trivedi, G Maheshwari, M Dubey, J Lehmann The Semantic Web–ISWC 2017: 16th International Semantic Web Conference …, 2017 | 330 | 2017 |
| Message passing for hyper-relational knowledge graphs M Galkin, P Trivedi, G Maheshwari, R Usbeck, J Lehmann arXiv preprint arXiv:2009.10847, 2020 | 126 | 2020 |
| Introduction to neural network‐based question answering over knowledge graphs N Chakraborty, D Lukovnikov, G Maheshwari, P Trivedi, J Lehmann, ... Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 11 (3 …, 2021 | 124* | 2021 |
| Learning to rank query graphs for complex question answering over knowledge graphs G Maheshwari, P Trivedi, D Lukovnikov, N Chakraborty, A Fischer, ... The Semantic Web–ISWC 2019: 18th International Semantic Web Conference …, 2019 | 114 | 2019 |
| Fair NLP models with differentially private text encoders G Maheshwari, P Denis, M Keller, A Bellet arXiv preprint arXiv:2205.06135, 2022 | 25 | 2022 |
| d’Amato C et al P Trivedi, G Maheshwari, M Dubey, J Lehmann LC-QuAD: a corpus for complex question answering over knowledge graphs The …, 2017 | 24 | 2017 |
| Fairgrad: Fairness aware gradient descent G Maheshwari, M Perrot arXiv preprint arXiv:2206.10923, 2022 | 20 | 2022 |
| A question answering system on regulatory documents D Collarana, T Heuss, J Lehmann, I Lytra, G Maheshwari, R Nedelchev, ... Legal knowledge and information systems, 41-50, 2018 | 18 | 2018 |
| Simdoc: topic sequence alignment based document similarity framework G Maheshwari, P Trivedi, H Sahijwani, K Jha, S Dasgupta, J Lehmann Proceedings of the 9th Knowledge Capture Conference, 1-8, 2017 | 15 | 2017 |
| An approach for ex-post-facto analysis of knowledge graph-driven chatbots–the dbpedia chatbot R Jalota, P Trivedi, G Maheshwari, AC Ngonga Ngomo, R Usbeck International Workshop on Chatbot Research and Design, 19-33, 2019 | 10 | 2019 |
| Formal ontology learning from English is-a sentences S Dasgupta, A Padia, G Maheshwari, P Trivedi, J Lehmann arXiv preprint arXiv:1802.03701, 2018 | 8 | 2018 |
| Bidirectional LSTM with a context input window for named entity recognition in tweets R Peres, D Esteves, G Maheshwari Proceedings of the 9th Knowledge Capture Conference, 1-4, 2017 | 7 | 2017 |
| Fair without leveling down: A new intersectional fairness definition G Maheshwari, A Bellet, P Denis, M Keller arXiv preprint arXiv:2305.12495, 2023 | 6 | 2023 |
| Synthetic data generation for intersectional fairness by leveraging hierarchical group structure G Maheshwari, A Bellet, P Denis, M Keller arXiv preprint arXiv:2405.14521, 2024 | 4 | 2024 |
| Efficacy of synthetic data as a benchmark G Maheshwari, D Ivanov, KE Haddad arXiv preprint arXiv:2409.11968, 2024 | 3 | 2024 |
| Asr benchmarking: Need for a more representative conversational dataset G Maheshwari, D Ivanov, T Johannet, KE Haddad arXiv preprint arXiv:2409.12042, 2024 | 1 | 2024 |
| An end-to-end approach for full bridging resolution J Renner, P Trivedi, G Maheshwari, R Gilleron, P Denis Proceedings of the CODI-CRAC 2021 Shared Task on Anaphora, Bridging, and …, 2021 | 1 | 2021 |
| How to Revert Question Answering on Knowledge Graphs. G Maheshwari, M Dubey, P Trivedi, J Lehmann ISWC (Posters, Demos & Industry Tracks), 2017 | 1 | 2017 |
| Mesurer et atténuer l'injustice d'allocation dans le processus d'apprentissage automatique G Maheshwari | | 2024 |
| Measuring and Mitigating Allocation Unfairness Across the Machine Learning Pipeline G Maheshwari Inria & Université de Lille, 2024 | | 2024 |
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