| 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 | 23 | 2017 |
| Using a KG-copy network for non-goal oriented dialogues D Chaudhuri, M Rony, R Al Hasan, S Jordan, J Lehmann International Semantic Web Conference, 93-109, 2019 | 5 | 2019 |
| VANiLLa: Verbalized answers in natural language at large scale D Biswas, M Dubey, MRAH Rony, J Lehmann arXiv preprint arXiv:2105.11407, 2021 | 4 | 2021 |
| Grounding dialogue systems via knowledge graph aware decoding with pre-trained transformers D Chaudhuri, MRAH Rony, J Lehmann European Semantic Web Conference, 323-339, 2021 | 3 | 2021 |
| 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 | 3 | 2019 |
| RoMe: A Robust Metric for Evaluating Natural Language Generation MRAH Rony, L Kovriguina, D Chaudhuri, R Usbeck, J Lehmann arXiv preprint arXiv:2203.09183, 2022 | 2 | 2022 |
| 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 | 2 | 2019 |
| Predicting stock market movement using sentiment analysis of twitter feed P Chakraborty, RAH Rony, US Pria BRAC University, 2017 | 2 | 2017 |
| Tree-KGQA: An Unsupervised Approach for Question Answering Over Knowledge Graphs MRAH Rony, D Chaudhuri, R Usbeck, J Lehmann IEEE Access, 2022 | 1 | 2022 |
| Integrating Knowledge Graph embedding and pretrained Language Models in Hypercomplex Spaces M Nayyeri, Z Wang, M Akter, MM Alam, MRAH Rony, J Lehmann, S Staab arXiv preprint arXiv:2208.02743, 2022 | | 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 | | 2022 |
| SGPT: A Generative Approach for SPARQL Query Generation from Natural Language Questions MR al hasan Rony, U Kumar, R Teucher, L Kovriguina, J Lehmann IEEE Access, 2022 | | 2022 |
| DialoKG: Knowledge-Structure Aware Task-Oriented Dialogue Generation MRAH Rony, R Usbeck, J Lehmann North American Chapter of the Association for Computational Linguistics …, 2022 | | 2022 |
| 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 | | 2022 |
| Language Model-driven Negative Sampling MM Alam, MRAH Rony, S Ali, J Lehmann, S Vahdati arXiv preprint arXiv:2203.04703, 2022 | | 2022 |
| The Effect of Rule Injectionin a Leakage Free Dataset. MM Alam, M Nayyeri, C Xu, MRAH Rony, HS Yazdi, A Sadeghi, ... KR4L@ ECAI, 28-35, 2020 | | 2020 |
| SGPT: A Generative Approach for SPARQL Query Generation From Natural Language Questions MDRALH RONY, U KUMAR, R TEUCHER, L KOVRIGUINA, J LEHMANN | | |
| End-to-End Entity Linking and Disambiguation leveraging Word and Knowledge Graph Embeddings MRAH Rony, D Chaudhuri, R Nedelchev, A Fischer, J Lehmann | | |
Jens LehmannProfessor of Computer Science at the University of Bonn & Fraunhofer IAISVerified email at cs.uni-bonn.de
