Anirban Laha
Anirban Laha
AI Research @ Google DeepMind
Verified email at - Homepage
Cited by
Cited by
Diversity driven attention model for query-based abstractive summarization
P Nema, M Khapra, A Laha, B Ravindran
Association for Computational Linguistics (ACL), 2017
Unsupervised Neural Text Simplification
S Surya, A Mishra, A Laha, P Jain, S Karthik
Proceedings of the 57th Annual Meeting of the Association for Computational …, 2019
Story generation from sequence of independent short descriptions
P Jain, P Agrawal, A Mishra, M Sukhwani, A Laha, K Sankaranarayanan
SIGKDD Workshop on Machine Learning for Creativity (ML4Creativity), 2017
On Controllable Sparse Alternatives to Softmax
A Laha, SA Chemmengath, P Agrawal, MM Khapra, K Sankaranarayanan, ...
Neural Information Processing Systems (NIPS), 2018
Joint Learning of Correlated Sequence Labelling Tasks Using Bidirectional Recurrent Neural Networks
V Pahuja, A Laha, S Mirkin, V Raykar, L Kotlerman, G Lev
Generating Descriptions from Structured Data Using a Bifocal Attention Mechanism and Gated Orthogonalization
P Nema, S Shetty, P Jain, A Laha, K Sankaranarayanan, MM Khapra
North American Chapter of the Association for Computational Linguistics …, 2018
A Mixed Hierarchical Attention based Encoder-Decoder Approach for Standard Table Summarization
P Jain, A Laha, K Sankaranarayanan, P Nema, MM Khapra, S Shetty
North American Chapter of the Association for Computational Linguistics …, 2018
An empirical evaluation of various deep learning architectures for bi-sequence classification tasks
A Laha, V Raykar
International Conference on Computational Linguistics (COLING), 2016
Scalable Micro-planned Generation of Discourse from Structured Data
A Laha, P Jain, A Mishra, K Sankaranarayanan
Computational Linguistics, 2019
Storytelling from structured data and knowledge graphs: An NLG perspective
A Mishra, A Laha, K Sankaranarayanan, P Jain, S Krishnan
Proceedings of the 57th annual meeting of the association for computational …, 2019
A Machine Learning Approach for Evaluating Creative Artifacts
D Shrivastava, SA CG, A Laha, K Sankaranarayanan
SIGKDD Workshop on Machine Learning for Creativity (ML4Creativity), 2017
Displaying dynamic content on multiple devices
A Laha, V Ekambaram, P Jain, D Shrivastava
US Patent 10,664,217, 2020
Generation of variable natural language descriptions from structured data
A Mishra, P Jain, A Laha, K Sankaranarayanan
US Patent 10,776,579, 2020
Real-time assessment of text consistency
A Mishra, A Laha, P Jain, K Sankaranarayanan
US Patent 11,194,964, 2021
Object storage and retrieval based upon context
V Ekambaram, S Kalyanaraman, A Laha
US Patent 10,713,485, 2020
An Efficient Cryptographic Hash Algorithm (BSA)
S Mukherjee, B Roy, A Laha
National Workshop on Cryptology, 2012
Cognitive assistant for co-generating creative content
A Sankaran, P Lohia, P Agrawal, D Shrivastava, A Laha, P Jain
US Patent 11,301,640, 2022
Structured article generation
P Jain, A Mishra, A Laha, S Krishnan, K Sankaranarayanan
US Patent 11,194,816, 2021
Script modification
S Chemmengath, P Jain, A Laha, S Krishnan
US Patent 10,891,437, 2021
What is deemed computationally creative?
S Agrawal, A Sankaran, A Laha, SA Chemmengath, D Shrivastava, ...
IBM Journal of Research and Development 63 (1), 3: 1-3: 12, 2019
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