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Pankaj Gupta

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


Apr 17, 2021
Pankaj Gupta, Yatin Chaudhary, Hinrich Schütze

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* NAACL2021, 13 pages, 14 tables, 2 figures. arXiv admin note: substantial text overlap with arXiv:1909.06563 
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TopicBERT for Energy Efficient Document Classification


Oct 15, 2020
Yatin Chaudhary, Pankaj Gupta, Khushbu Saxena, Vivek Kulkarni, Thomas Runkler, Hinrich Schütze

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* EMNLP2020 (Findings): 9 pages, 5 figures, 8 Tables 
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Explainable and Discourse Topic-aware Neural Language Understanding


Jun 19, 2020
Yatin Chaudhary, Hinrich Schütze, Pankaj Gupta

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* Accepted at ICML2020 (13 pages, 2 figures), acknowledgements added 
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Neural Topic Modeling with Continual Lifelong Learning


Jun 19, 2020
Pankaj Gupta, Yatin Chaudhary, Thomas Runkler, Hinrich Schütze

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* ICML2020 
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Linguistically Informed Relation Extraction and Neural Architectures for Nested Named Entity Recognition in BioNLP-OST 2019


Oct 08, 2019
Usama Yaseen, Pankaj Gupta, Hinrich Schütze

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* EMNLP 2019, 11 pages, 4 figures, 8 tables 
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BioNLP-OST 2019 RDoC Tasks: Multi-grain Neural Relevance Ranking Using Topics and Attention Based Query-Document-Sentence Interactions


Oct 02, 2019
Yatin Chaudhary, Pankaj Gupta, Hinrich Schütze

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* EMNLP2019, 10 pages, 2 figures, 7 tables 
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Lifelong Neural Topic Learning in Contextualized Autoregressive Topic Models of Language via Informative Transfers


Sep 29, 2019
Yatin Chaudhary, Pankaj Gupta, Thomas Runkler

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* 94 pages 
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Multi-view and Multi-source Transfers in Neural Topic Modeling with Pretrained Topic and Word Embeddings


Sep 17, 2019
Pankaj Gupta, Yatin Chaudhary, Hinrich Schütze

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Neural Architectures for Fine-Grained Propaganda Detection in News


Sep 13, 2019
Pankaj Gupta, Khushbu Saxena, Usama Yaseen, Thomas Runkler, Hinrich Schütze

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* EMNLP2019: Fine-grained propaganda detection shared task at NLP4IF workshop (EMNLP2019) 
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Neural Relation Extraction Within and Across Sentence Boundaries


Oct 11, 2018
Pankaj Gupta, Subburam Rajaram, Hinrich Schütze, Bernt Andrassy, Thomas Runkler

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* #AAAI2019 under review 
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textTOvec: Deep Contextualized Neural Autoregressive Models of Language with Distributed Compositional Prior


Oct 10, 2018
Pankaj Gupta, Yatin Chaudhary, Florian Buettner, Hinrich Schütze

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* #ICLR2019 under review 
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Document Informed Neural Autoregressive Topic Models with Distributional Prior


Sep 15, 2018
Pankaj Gupta, Yatin Chaudhary, Florian Buettner, Hinrich Schütze

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* AAAI2019. arXiv admin note: substantial text overlap with arXiv:1808.03793 
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Document Informed Neural Autoregressive Topic Models


Aug 11, 2018
Pankaj Gupta, Florian Buettner, Hinrich Schütze

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


Aug 05, 2018
Pankaj Gupta, Hinrich Schütze

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* 2018 Conference on Empirical Methods in Natural Language Processing (EMNLP2018) workshop on Analyzing and Interpreting Neural Networks for NLP (BlackBoxNLP) 
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Replicated Siamese LSTM in Ticketing System for Similarity Learning and Retrieval in Asymmetric Texts


Jul 08, 2018
Pankaj Gupta, Bernt Andrassy, Hinrich Schütze

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* In the 27th International Conference on Computational Linguistics (COLING 2018) workshop on Semantic Deep Learning (SemDeep-3) 
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Joint Bootstrapping Machines for High Confidence Relation Extraction


May 01, 2018
Pankaj Gupta, Benjamin Roth, Hinrich Schütze

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* In Proceedings of the 16th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT 2018) 
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Deep Temporal-Recurrent-Replicated-Softmax for Topical Trends over Time


May 01, 2018
Pankaj Gupta, Subburam Rajaram, Hinrich Schütze, Bernt Andrassy

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* In Proceedings of the 16th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT 2018) 
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What are the visual features underlying human versus machine vision?


Nov 07, 2017
Drew Linsley, Sven Eberhardt, Tarun Sharma, Pankaj Gupta, Thomas Serre

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* 9 pages, 7 figures 
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Combining Recurrent and Convolutional Neural Networks for Relation Classification


May 24, 2016
Ngoc Thang Vu, Heike Adel, Pankaj Gupta, Hinrich Schütze

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* NAACL 2016 
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