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Pankaj Gupta
Pankaj Gupta
Founder, CTO & Chief Scientist at DRIMCo GmbH Munich | PhD in Machine Learning-NLP
Verified email at drimco.net - Homepage
Title
Cited by
Cited by
Year
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
2902016
Combining recurrent and convolutional neural networks for relation classification
NT Vu, H Adel, P Gupta, H Schütze
NAACL2016, 2016
2232016
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
1612017
Neural relation extraction within and across sentence boundaries
P Gupta, B Andrassy, S Rajaram, T Runkler
US Patent App. 16/517,161, 2021
1112021
Neural Relation Extraction Within and Across Sentence Boundaries
P Gupta, S Rajaram, B Andrassy, T Runkler, H Schütze
AAAI19, 2019
1112019
Bi-directional recurrent neural network with ranking loss for spoken language understanding
NT Vu, P Gupta, H Adel, H Schütze
ICASSP2016, 2016
932016
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
572011
Document Informed Neural Autoregressive Topic Models with Distributional Prior
P Gupta, Y Chaudhary, F Buettner, H Schütze
AAAI19, 2019
552019
Neural Topic Modeling with Continual Lifelong Learning
P Gupta, Y Chaudhary, T Runkler, H Schütze
ICML, 2020
412020
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
342016
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
252019
TopicBERT for Energy Efficient Document Classification
Y Chaudhary, P Gupta, K Saxena, V Kulkarni, T Runkler, H Schütze
EMNLP Findings, 2020
242020
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
192018
Joint Bootstrapping Machines for High Confidence Relation Extraction
P Gupta, B Roth, H Schütze
Proceedings of NAACL-HLT/ACL 2018, 2018
192018
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
16*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
142018
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
112015
Explainable and Discourse Topic-aware Neural Language Understanding
Y Chaudhary, H Schütze, P Gupta
ICML, 2020
92020
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
92018
Federated Continual Learning for Text Classification via Selective Inter-client Transfer
Y Chaudhary, P Rai, M Schubert, H Schütze, P Gupta
Findings of ACL 2022 (EMNLP2022), 2022
82022
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