| Table Filling Multi-Task Recurrent Neural Network for Joint Entity and Relation Extraction P Gupta, H Schütze, B Andrassy Proccedings of the 26th International Conference on Computational …, 2016 | 262 | 2016 |
| Combining recurrent and convolutional neural networks for relation classification NT Vu, H Adel, P Gupta, H Schütze NAACL2016, 2016 | 215 | 2016 |
| Prediction of overall survival for patients with metastatic castration-resistant prostate cancer: development of a prognostic model through a crowdsourced challenge with open … J Guinney, T Wang, TD Laajala, KK Winner, JC Bare, EC Neto, SA Khan, ... The Lancet Oncology 18 (1), 132-142, 2017 | 150 | 2017 |
| Neural relation extraction within and across sentence boundaries P Gupta, B Andrassy, S Rajaram, T Runkler US Patent App. 16/517,161, 2021 | 104 | 2021 |
| Neural Relation Extraction Within and Across Sentence Boundaries P Gupta, S Rajaram, B Andrassy, T Runkler, H Schütze AAAI19, 2019 | 104 | 2019 |
| Bi-directional recurrent neural network with ranking loss for spoken language understanding NT Vu, P Gupta, H Adel, H Schütze ICASSP2016, 2016 | 91 | 2016 |
| Summarizing text by ranking text units according to shallow linguistic features P Gupta, VS Pendluri, I Vats 13th international conference on advanced communication technology …, 2011 | 54 | 2011 |
| Document Informed Neural Autoregressive Topic Models with Distributional Prior P Gupta, Y Chaudhary, F Buettner, H Schütze AAAI19, 2019 | 50 | 2019 |
| Heterogeneous ensembles for predicting survival of metastatic, castrate-resistant prostate cancer patients S Pölsterl, P Gupta, L Wang, S Conjeti, A Katouzian, N Navab F1000Research 5 (2676), 2016 | 33 | 2016 |
| Neural Topic Modeling with Continual Lifelong Learning P Gupta, Y Chaudhary, T Runkler, H Schütze ICML, 2020 | 32 | 2020 |
| Neural Architectures for Fine-Grained Propaganda Detection in News P Gupta, K Saxena, U Yaseen, T Runkler, H Schütze EMNLP-IJCNLP 2019 workshop on NLP4IF, 2019 | 24 | 2019 |
| TopicBERT for Energy Efficient Document Classification Y Chaudhary, P Gupta, K Saxena, V Kulkarni, T Runkler, H Schütze EMNLP Findings, 2020 | 19 | 2020 |
| LISA: Explaining Recurrent Neural Network Judgments via Layer-wIse Semantic Accumulation and Example to Pattern Transformation P Gupta, H Schütze Proceedings of EMNLP2018 workshop on BlackBoxNLP, 2018 | 19 | 2018 |
| Joint Bootstrapping Machines for High Confidence Relation Extraction P Gupta, B Roth, H Schütze Proceedings of NAACL-HLT/ACL 2018, 2018 | 18 | 2018 |
| textTOvec: Deep Contextualized Neural Autoregressive Models of Language with Distributed Compositional Prior P Gupta, Y Chaudhary, F Buettner, H Schütze International Conference on Learning Representations ICLR 2019, 2019 | 14* | 2019 |
| Deep Temporal-Recurrent-Replicated-Softmax for Topical Trends over Time P Gupta, S Rajaram, H Schütze, B Andrassy Proceedings of NAACL-HLT/ACL 2018, 2018 | 14 | 2018 |
| Deep Learning Methods for the Extraction of Relations in Natural Language Text P Gupta, T Runkler, H Adel, B Andrassy, HG Zimmermann, H Schütze Master Thesis: Technical University of Munich (TUM), Germany. University of …, 2015 | 11 | 2015 |
| Replicated Siamese LSTM in Ticketing System for Similarity Learning and Retrieval in Asymmetric Texts P Gupta, B Andrassy, H Schütze The 27th International Conference on Computational Linguistics (COLING2018 …, 2018 | 8 | 2018 |
| Explainable and Discourse Topic-aware Neural Language Understanding Y Chaudhary, H Schütze, P Gupta ICML, 2020 | 7 | 2020 |
| Multi-source Neural Topic Modeling in Multi-view Embedding Spaces P Gupta, Y Chaudhary, H Schütze NAACL 2021, 2021 | 5 | 2021 |
Hinrich SchützeUniversity of MunichGeverifieerd e-mailadres voor cis.lmu.de
