Ratish Puduppully
Ratish Puduppully
School of Informatics, University of Edinburgh
Verified email at sms.ed.ac.uk - Homepage
Cited by
Cited by
Data-to-text generation with content selection and planning
R Puduppully, L Dong, M Lapata
Proceedings of the AAAI conference on artificial intelligence 33 (01), 6908-6915, 2019
Data-to-text generation with entity modeling
R Puduppully, L Dong, M Lapata
arXiv preprint arXiv:1906.03221, 2019
Brahmi-Net: A transliteration and script conversion system for languages of the Indian subcontinent
A Kunchukuttan, R Puduppully, P Bhattacharyya
Proceedings of the 2015 conference of the North American chapter of the …, 2015
Transition-based syntactic linearization with lookahead features
R Puduppully, Y Zhang, M Shrivastava
Proceedings of the 2016 Conference of the North American Chapter of the …, 2016
The iit bombay smt system for icon 2014 tools contest
A Kunchukuttan, R Pudupully, R Chatterjee, A Mishra, P Bhattacharyya
NLP Tools Contest at ICON 2014, 2014
Method and system for sharing content
B Willis, S Natraj, A Shinde, T Agarwal, R Puduppully, SS Pulagala, ...
US Patent 9,256,695, 2016
Transition-Based Deep Input Linearization
R Puduppully, Y Zhang, M Shrivastava
Merging Verb Senses of Hindi WordNet using Word Embeddings
S Bhingardive, R Puduppully, D Singh, P Bhattacharyya
Data-to-text Generation with Macro Planning
R Puduppully, M Lapata
Transactions of the Association for Computational Linguistics 9, 510-527, 2021
University of Edinburgh’s submission to the document-level generation and translation shared task
R Puduppully, J Mallinson, M Lapata
Proceedings of the 3rd Workshop on Neural Generation and Translation, 268-272, 2019
IndicBART: A Pre-trained Model for Natural Language Generation of Indic Languages
R Dabre, H Shrotriya, A Kunchukuttan, R Puduppully, MM Khapra, ...
arXiv preprint arXiv:2109.02903, 2021
Transition-Based Technique for Syntactic Linearization and Deep Input Linearization
RS Puduppully
International Institute of Information Technology Hyderabad, 2017
Boosting Phrase-based SMT with Unsupervised Morph-Analysis and Transliteration Mining
A Kunchukuttan, R Puduppully, R Chatterjee, A Mishra, P Bhattacharyya
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