Pankaj Gupta

According to our database, Pankaj Gupta authored at least 25 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

A large-scale group decision making method with a consensus reaching process under cognitive linguistic environment.

Xingli Wu, Song Nie, Huchang Liao, Pankaj Gupta

Int. Trans. Oper. Res., May, 2023

2022

Federated Continual Learning for Text Classification via Selective Inter-client Transfer.

Yatin Chaudhary, Pranav Rai, Matthias Schubert, Hinrich Schütze, Pankaj Gupta

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

2021

Multi-source Neural Topic Modeling in Multi-view Embedding Spaces.

Pankaj Gupta, Yatin Chaudhary, Hinrich Schütze

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

2020

Neural Topic Modeling with Continual Lifelong Learning.

Pankaj Gupta, Yatin Chaudhary, Thomas A. Runkler, Hinrich Schütze

Proceedings of the 37th International Conference on Machine Learning, 2020

Explainable and Discourse Topic-aware Neural Language Understanding.

Yatin Chaudhary, Hinrich Schütze, Pankaj Gupta

Proceedings of the 37th International Conference on Machine Learning, 2020

TopicBERT for Energy Efficient Document Classification.

Yatin Chaudhary, Pankaj Gupta, Khushbu Saxena, Vivek Kulkarni, Thomas A. Runkler, Hinrich Schütze

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

2019

Neural information extraction from natural language text.

Pankaj Gupta

PhD thesis, 2019

Lifelong Neural Topic Learning in Contextualized Autoregressive Topic Models of Language via Informative Transfers.

Yatin Chaudhary, Pankaj Gupta, Thomas A. Runkler

CoRR, 2019

Multi-view and Multi-source Transfers in Neural Topic Modeling with Pretrained Topic and Word Embeddings.

Pankaj Gupta, Yatin Chaudhary, Hinrich Schütze

CoRR, 2019

Neural Architectures for Fine-Grained Propaganda Detection in News.

Pankaj Gupta, Khushbu Saxena, Usama Yaseen, Thomas A. Runkler, Hinrich Schütze

CoRR, 2019

Texttovec: Deep Contextualized Neural autoregressive Topic Models of Language with Distributed Compositional Prior.

Pankaj Gupta, Yatin Chaudhary, Florian Buettner, Hinrich Schütze

Proceedings of the 7th International Conference on Learning Representations, 2019

Linguistically Informed Relation Extraction and Neural Architectures for Nested Named Entity Recognition in BioNLP-OST 2019.

Pankaj Gupta, Usama Yaseen, Hinrich Schütze

Proceedings of The 5th Workshop on BioNLP Open Shared Tasks, 2019

BioNLP-OST 2019 RDoC Tasks: Multi-grain Neural Relevance Ranking Using Topics and Attention Based Query-Document-Sentence Interactions.

Pankaj Gupta, Yatin Chaudhary, Hinrich Schütze

Proceedings of The 5th Workshop on BioNLP Open Shared Tasks, 2019

Neural Relation Extraction within and across Sentence Boundaries.

Pankaj Gupta, Subburam Rajaram, Hinrich Schütze, Thomas A. Runkler

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Document Informed Neural Autoregressive Topic Models with Distributional Prior.

Pankaj Gupta, Yatin Chaudhary, Florian Buettner, Hinrich Schütze

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Neural Relation Extraction Within and Across Sentence Boundaries.

Pankaj Gupta, Subburam Rajaram, Hinrich Schütze, Bernt Andrassy, Thomas A. Runkler

CoRR, 2018

textTOvec: Deep Contextualized Neural Autoregressive Models of Language with Distributed Compositional Prior.

Pankaj Gupta, Yatin Chaudhary, Florian Buettner, Hinrich Schütze

CoRR, 2018

Document Informed Neural Autoregressive Topic Models.

Pankaj Gupta, Florian Buettner, Hinrich Schütze

CoRR, 2018

Replicated Siamese LSTM in Ticketing System for Similarity Learning and Retrieval in Asymmetric Texts.

Pankaj Gupta, Bernt Andrassy, Hinrich Schütze

Proceedings of the Third Workshop on Semantic Deep Learning, SemDeep@COLING 2018, 2018

Deep Temporal-Recurrent-Replicated-Softmax for Topical Trends over Time.

Pankaj Gupta, Subburam Rajaram, Hinrich Schütze, Bernt Andrassy

Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Joint Bootstrapping Machines for High Confidence Relation Extraction.

Pankaj Gupta, Benjamin Roth, Hinrich Schütze

Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

LISA: Explaining Recurrent Neural Network Judgments via Layer-wIse Semantic Accumulation and Example to Pattern Transformation.

Pankaj Gupta, Hinrich Schütze

Proceedings of the Workshop: Analyzing and Interpreting Neural Networks for NLP, 2018

2016

Combining Recurrent and Convolutional Neural Networks for Relation Classification.

Ngoc Thang Vu, Heike Adel, Pankaj Gupta, Hinrich Schütze

Proceedings of the NAACL HLT 2016, 2016

Bi-directional recurrent neural network with ranking loss for spoken language understanding.

Ngoc Thang Vu, Pankaj Gupta, Heike Adel, Hinrich Schütze

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Table Filling Multi-Task Recurrent Neural Network for Joint Entity and Relation Extraction.

Pankaj Gupta, Hinrich Schütze, Bernt Andrassy

Proceedings of the COLING 2016, 2016