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On Controllable Sparse Alternatives to Softmax


Oct 30, 2018
Anirban Laha, Saneem A. Chemmengath, Priyanka Agrawal, Mitesh M. Khapra, Karthik Sankaranarayanan, Harish G. Ramaswamy

* To appear in NIPS 2018, Total 16 pages including appendix 

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Unsupervised Neural Text Simplification


Oct 18, 2018
Sai Surya, Abhijit Mishra, Anirban Laha, Parag Jain, Karthik Sankaranarayanan

* 8 pages, 3 figures 

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Diversity driven Attention Model for Query-based Abstractive Summarization


Jul 13, 2018
Preksha Nema, Mitesh Khapra, Anirban Laha, Balaraman Ravindran

* Accepted at ACL 2017 

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A Mixed Hierarchical Attention based Encoder-Decoder Approach for Standard Table Summarization


Apr 20, 2018
Parag Jain, Anirban Laha, Karthik Sankaranarayanan, Preksha Nema, Mitesh M. Khapra, Shreyas Shetty

* Accepted in NAACL-HLT 2018 (Short paper) 

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Generating Descriptions from Structured Data Using a Bifocal Attention Mechanism and Gated Orthogonalization


Apr 20, 2018
Preksha Nema, Shreyas Shetty, Parag Jain, Anirban Laha, Karthik Sankaranarayanan, Mitesh M. Khapra

* Accepted in NAACL-HLT 2018 

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Story Generation from Sequence of Independent Short Descriptions


Aug 21, 2017
Parag Jain, Priyanka Agrawal, Abhijit Mishra, Mohak Sukhwani, Anirban Laha, Karthik Sankaranarayanan

* Accepted in SIGKDD Workshop on Machine Learning for Creativity (ML4Creativity), 2017 

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A Machine Learning Approach for Evaluating Creative Artifacts


Jul 18, 2017
Disha Shrivastava, Saneem Ahmed CG, Anirban Laha, Karthik Sankaranarayanan

* Accepted at SIGKDD Workshop on Machine Learning for Creativity (ML4Creativity), 2017 

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Joint Learning of Correlated Sequence Labelling Tasks Using Bidirectional Recurrent Neural Networks


Jul 18, 2017
Vardaan Pahuja, Anirban Laha, Shachar Mirkin, Vikas Raykar, Lili Kotlerman, Guy Lev

* Accepted in Interspeech 2017 

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An Empirical Evaluation of various Deep Learning Architectures for Bi-Sequence Classification Tasks


Oct 02, 2016
Anirban Laha, Vikas Raykar

* 12 pages (content + references : 10 pages, appendix : 2 pages ). To appear in COLING 2016 

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