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ORCIDPankaj Gupta 0003
Person information
- affiliation: Ludwig Maximilian University of Munich, Germany
Other persons with the same name
- Pankaj Gupta — disambiguation page
- Pankaj Gupta 0001
![[0000-0002-1963-7998]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0002-1963-7998")
— University of Delhi, Department of Operational Research, India - Pankaj Gupta 0002 — Twitter Inc., USA (and 1 more)
- Pankaj Gupta 0004 — Delhi Technological University, India
- Pankaj Gupta 0005 — Postgraduate Institute of Medical Education & Research, Chandigarh, India
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2020 – today
- 2023
[j1]Xingli Wu, Song Nie, Huchang Liao, Pankaj Gupta:
A large-scale group decision making method with a consensus reaching process under cognitive linguistic environment. Int. Trans. Oper. Res. 30(3): 1340-1365 (2023)- 2022
- [c17]Yatin Chaudhary, Pranav Rai, Matthias Schubert, Hinrich Schütze, Pankaj Gupta:
Federated Continual Learning for Text Classification via Selective Inter-client Transfer. EMNLP (Findings) 2022: 4789-4799 - [i19]Yatin Chaudhary, Pranav Rai, Matthias Schubert, Hinrich Schütze, Pankaj Gupta:
Federated Continual Learning for Text Classification via Selective Inter-client Transfer. CoRR abs/2210.06101 (2022) - 2021
- [c16]Pankaj Gupta, Yatin Chaudhary, Hinrich Schütze:
Multi-source Neural Topic Modeling in Multi-view Embedding Spaces. NAACL-HLT 2021: 4205-4217 - [i18]Pankaj Gupta, Yatin Chaudhary, Hinrich Schütze:
Multi-source Neural Topic Modeling in Multi-view Embedding Spaces. CoRR abs/2104.08551 (2021) - 2020
- [c15]Yatin Chaudhary, Pankaj Gupta, Khushbu Saxena, Vivek Kulkarni, Thomas A. Runkler, Hinrich Schütze:
TopicBERT for Energy Efficient Document Classification. EMNLP (Findings) 2020: 1682-1690 - [c14]Yatin Chaudhary, Hinrich Schütze, Pankaj Gupta:
Explainable and Discourse Topic-aware Neural Language Understanding. ICML 2020: 1479-1488 - [c13]Pankaj Gupta, Yatin Chaudhary, Thomas A. Runkler, Hinrich Schütze:
Neural Topic Modeling with Continual Lifelong Learning. ICML 2020: 3907-3917 - [i17]Yatin Chaudhary, Hinrich Schütze, Pankaj Gupta:
Explainable and Discourse Topic-aware Neural Language Understanding. CoRR abs/2006.10632 (2020) - [i16]Pankaj Gupta, Yatin Chaudhary, Thomas A. Runkler, Hinrich Schütze:
Neural Topic Modeling with Continual Lifelong Learning. CoRR abs/2006.10909 (2020) - [i15]Yatin Chaudhary, Pankaj Gupta, Khushbu Saxena, Vivek Kulkarni, Thomas A. Runkler, Hinrich Schütze:
TopicBERT for Energy Efficient Document Classification. CoRR abs/2010.16407 (2020)
2010 – 2019
- 2019
- [b1]Pankaj Gupta:
Neural information extraction from natural language text. Ludwig Maximilian University of Munich, Germany, 2019 - [c12]Pankaj Gupta, Yatin Chaudhary, Florian Buettner, Hinrich Schütze:
Document Informed Neural Autoregressive Topic Models with Distributional Prior. AAAI 2019: 6505-6512 - [c11]Pankaj Gupta, Subburam Rajaram, Hinrich Schütze, Thomas A. Runkler:
Neural Relation Extraction within and across Sentence Boundaries. AAAI 2019: 6513-6520 - [c10]Pankaj Gupta, Usama Yaseen, Hinrich Schütze:
Linguistically Informed Relation Extraction and Neural Architectures for Nested Named Entity Recognition in BioNLP-OST 2019. BioNLP-OST@EMNLP-IJNCLP 2019: 132-142 - [c9]Pankaj Gupta, Yatin Chaudhary, Hinrich Schütze:
BioNLP-OST 2019 RDoC Tasks: Multi-grain Neural Relevance Ranking Using Topics and Attention Based Query-Document-Sentence Interactions. BioNLP-OST@EMNLP-IJNCLP 2019: 227-236 - [c8]Pankaj Gupta, Yatin Chaudhary, Florian Buettner, Hinrich Schütze:
Texttovec: Deep Contextualized Neural autoregressive Topic Models of Language with Distributed Compositional Prior. ICLR (Poster) 2019 - [i14]Pankaj Gupta, Khushbu Saxena, Usama Yaseen, Thomas A. Runkler, Hinrich Schütze:
Neural Architectures for Fine-Grained Propaganda Detection in News. CoRR abs/1909.06162 (2019) - [i13]Pankaj Gupta, Yatin Chaudhary, Hinrich Schütze:
Multi-view and Multi-source Transfers in Neural Topic Modeling with Pretrained Topic and Word Embeddings. CoRR abs/1909.06563 (2019) - [i12]Yatin Chaudhary, Pankaj Gupta, Thomas A. Runkler:
Lifelong Neural Topic Learning in Contextualized Autoregressive Topic Models of Language via Informative Transfers. CoRR abs/1909.13315 (2019) - [i11]Yatin Chaudhary, Pankaj Gupta, Hinrich Schütze:
BioNLP-OST 2019 RDoC Tasks: Multi-grain Neural Relevance Ranking Using Topics and Attention Based Query-Document-Sentence Interactions. CoRR abs/1910.00314 (2019) - [i10]Usama Yaseen, Pankaj Gupta, Hinrich Schütze:
Linguistically Informed Relation Extraction and Neural Architectures for Nested Named Entity Recognition in BioNLP-OST 2019. CoRR abs/1910.03385 (2019) - 2018
- [c7]Pankaj Gupta, Hinrich Schütze:
LISA: Explaining Recurrent Neural Network Judgments via Layer-wIse Semantic Accumulation and Example to Pattern Transformation. BlackboxNLP@EMNLP 2018: 154-164 - [c6]Pankaj Gupta, Benjamin Roth, Hinrich Schütze:
Joint Bootstrapping Machines for High Confidence Relation Extraction. NAACL-HLT 2018: 26-36 - [c5]Pankaj Gupta, Subburam Rajaram, Hinrich Schütze, Bernt Andrassy:
Deep Temporal-Recurrent-Replicated-Softmax for Topical Trends over Time. NAACL-HLT 2018: 1079-1089 - [c4]Pankaj Gupta, Bernt Andrassy, Hinrich Schütze:
Replicated Siamese LSTM in Ticketing System for Similarity Learning and Retrieval in Asymmetric Texts. SemDeep@COLING 2018: 1-11 - [i9]Pankaj Gupta, Benjamin Roth, Hinrich Schütze:
Joint Bootstrapping Machines for High Confidence Relation Extraction. CoRR abs/1805.00254 (2018) - [i8]Pankaj Gupta, Bernt Andrassy, Hinrich Schütze:
Replicated Siamese LSTM in Ticketing System for Similarity Learning and Retrieval in Asymmetric Texts. CoRR abs/1807.02854 (2018) - [i7]Pankaj Gupta, Hinrich Schütze:
LISA: Explaining Recurrent Neural Network Judgments via Layer-wIse Semantic Accumulation and Example to Pattern Transformation. CoRR abs/1808.01591 (2018) - [i6]Pankaj Gupta, Florian Buettner, Hinrich Schütze:
Document Informed Neural Autoregressive Topic Models. CoRR abs/1808.03793 (2018) - [i5]Pankaj Gupta, Yatin Chaudhary, Florian Buettner, Hinrich Schütze:
Document Informed Neural Autoregressive Topic Models with Distributional Prior. CoRR abs/1809.06709 (2018) - [i4]Pankaj Gupta, Yatin Chaudhary, Florian Buettner, Hinrich Schütze:
textTOvec: Deep Contextualized Neural Autoregressive Models of Language with Distributed Compositional Prior. CoRR abs/1810.03947 (2018) - [i3]Pankaj Gupta, Subburam Rajaram, Hinrich Schütze, Bernt Andrassy, Thomas A. Runkler:
Neural Relation Extraction Within and Across Sentence Boundaries. CoRR abs/1810.05102 (2018) - 2017
- [i2]Pankaj Gupta, Subburam Rajaram, Hinrich Schütze, Bernt Andrassy:
Deep Temporal-Recurrent-Replicated-Softmax for Topical Trends over Time. CoRR abs/1711.05626 (2017) - 2016
- [c3]Pankaj Gupta, Hinrich Schütze, Bernt Andrassy:
Table Filling Multi-Task Recurrent Neural Network for Joint Entity and Relation Extraction. COLING 2016: 2537-2547 - [c2]Ngoc Thang Vu, Pankaj Gupta, Heike Adel, Hinrich Schütze:
Bi-directional recurrent neural network with ranking loss for spoken language understanding. ICASSP 2016: 6060-6064 - [c1]Ngoc Thang Vu, Heike Adel, Pankaj Gupta, Hinrich Schütze:
Combining Recurrent and Convolutional Neural Networks for Relation Classification. HLT-NAACL 2016: 534-539 - [i1]Ngoc Thang Vu, Heike Adel, Pankaj Gupta, Hinrich Schütze:
Combining Recurrent and Convolutional Neural Networks for Relation Classification. CoRR abs/1605.07333 (2016)
Coauthor Index
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