| Sgpt: a generative approach for sparql query generation from natural language questions MRAH Rony, U Kumar, R Teucher, L Kovriguina, J Lehmann IEEE Access 10, 70712-70723, 2022 | 39 | 2022 |
| Predicting stock movement using sentiment analysis of Twitter feed P Chakraborty, US Pria, MRAH Rony, MA Majumdar 2017 6th International Conference on Informatics, Electronics and Vision …, 2017 | 38 | 2017 |
| DialoKG: Knowledge-Structure Aware Task-Oriented Dialogue Generation MRAH Rony, R Usbeck, J Lehmann Findings of the Association for Computational Linguistics: NAACL 2022, 2557-2571, 2022 | 35 | 2022 |
| Tree-KGQA: an unsupervised approach for question answering over knowledge graphs MRAH Rony, D Chaudhuri, R Usbeck, J Lehmann IEEE Access 10, 50467-50478, 2022 | 20 | 2022 |
| Language model guided knowledge graph embeddings MM Alam, MRAH Rony, M Nayyeri, K Mohiuddin, MSTM Akter, S Vahdati, ... IEEE Access 10, 76008-76020, 2022 | 19 | 2022 |
| Grounding dialogue systems via knowledge graph aware decoding with pre-trained transformers D Chaudhuri, MRAH Rony, J Lehmann The Semantic Web: 18th International Conference, ESWC 2021, Virtual Event …, 2021 | 16 | 2021 |
| RoMe: A robust metric for evaluating natural language generation MRAH Rony, L Kovriguina, D Chaudhuri, R Usbeck, J Lehmann ACL 2022, 2022 | 14 | 2022 |
| Using a KG-copy network for non-goal oriented dialogues D Chaudhuri, MRAH Rony, S Jordan, J Lehmann The Semantic Web–ISWC 2019: 18th International Semantic Web Conference …, 2019 | 12 | 2019 |
| Integrating Knowledge Graph Embeddings and Pre-trained Language Models in Hypercomplex Spaces M Nayyeri, Z Wang, MM Akter, MM Alam, MRAH Rony, J Lehmann, ... International Semantic Web Conference, 388-407, 2023 | 10 | 2023 |
| VANiLLa: Verbalized answers in natural language at large scale D Biswas, M Dubey, MRAH Rony, J Lehmann arXiv preprint arXiv:2105.11407, 2021 | 8 | 2021 |
| Climate Bot: A Machine Reading Comprehension System for Climate Change Question Answering MRAH Rony, Y Zuo, L Kovriguina, R Teucher, J Lehmann International Joint Conference on Artificial Intelligence, 2022 | 6 | 2022 |
| Statistical Analysis and Identification of Important Factors of Liver Disease using Machine Learning and Deep Learning Architecture MK Islam, MM Alam, MRAH Rony, K Mohiuddin Proceedings of the 2019 3rd International Conference on Innovation in …, 2019 | 6 | 2019 |
| CarExpert: Leveraging Large Language Models for In-Car Conversational Question Answering MRAH Rony, C Suess, SR Bhat, V Sudhi, J Schneider, M Vogel, ... EMNLP 2023 industry track, 2023 | 4 | 2023 |
| Hand gesture recognition using image segmentation and deep neural network MRAH Rony, MM Alam Eleventh International Conference on Machine Vision (ICMV 2018) 11041, 290-295, 2019 | 3 | 2019 |
| InCA: Rethinking In-Car Conversational System Assessment Leveraging Large Language Models KE Friedl, AG Khan, SR Sahoo, MRAH Rony, J Germies, C Süß arXiv preprint arXiv:2311.07469, 2023 | 2 | 2023 |
| Predicting stock market movement using sentiment analysis of twitter feed P Chakraborty, RAH Rony, US Pria BRAC University, 2017 | 2 | 2017 |
| Incorporating Query Recommendation for Improving In-Car Conversational Search MRAH Rony, SR Sahoo, AG Khan, KE Friedl, V Sudhi, C Süß European Conference on Information Retrieval, 304-312, 2024 | 1 | 2024 |
| LEMON: LanguagE MOdel for Negative Sampling of Knowledge Graph Embeddings MRAH Rony, MM Alam, S Ali, J Lehmann, S Vahdati arXiv preprint arXiv:2203.04703, 2022 | 1 | 2022 |
| Language model-driven negative sampling MM Alam, MRAH Rony, S Ali, J Lehmann, S Vahdati CoRR, abs/2203.04703, 2022 | 1 | 2022 |
| End-to-End Entity Linking and Disambiguation leveraging Word and Knowledge Graph Embeddings M Rony, D Chaudhuri, R Nedelchev, A Fischer, J Lehmann | 1 | 2020 |
Jens LehmannPrincipal Scientist at Amazon Inc., Honorary Professor at TU DresdenVerified email at amazon.com
