Ratish Puduppully
Ratish Puduppully
Institute for Infocomm Research, A*STAR
Verified email at - 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
Data-to-text generation with macro planning
R Puduppully, M Lapata
Transactions of the Association for Computational Linguistics 9, 510-527, 2021
IndicBART: A pre-trained model for indic natural language generation
R Dabre, H Shrotriya, A Kunchukuttan, R Puduppully, MM Khapra, ...
arXiv preprint arXiv:2109.02903, 2021
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
Data-to-text generation with variational sequential planning
R Puduppully, Y Fu, M Lapata
Transactions of the Association for Computational Linguistics 10, 697-715, 2022
Method and system for sharing content
B Willis, S Natraj, A Shinde, T Agarwal, R Puduppully, SS Pulagala, ...
US Patent 9,256,695, 2016
Indicnlg suite: Multilingual datasets for diverse nlg tasks in indic languages
A Kumar, H Shrotriya, P Sahu, R Dabre, R Puduppully, A Kunchukuttan, ...
arXiv preprint arXiv:2203.05437, 2022
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
Transition-Based Deep Input Linearization
R Puduppully, Y Zhang, M Shrivastava
Indicnlg benchmark: Multilingual datasets for diverse nlg tasks in indic languages
A Kumar, H Shrotriya, P Sahu, A Mishra, R Dabre, R Puduppully, ...
Proceedings of the 2022 Conference on Empirical Methods in Natural Language …, 2022
Merging Verb Senses of Hindi WordNet using Word Embeddings
S Bhingardive, R Puduppully, D Singh, P Bhattacharyya
Gemv2: Multilingual nlg benchmarking in a single line of code
S Gehrmann, A Bhattacharjee, A Mahendiran, A Wang, A Papangelis, ...
arXiv preprint arXiv:2206.11249, 2022
Multi-Document Summarization with Centroid-Based Pretraining
R Puduppully, M Steedman
arXiv preprint arXiv:2208.01006, 2022
IndicTrans2: Towards High-Quality and Accessible Machine Translation Models for all 22 Scheduled Indian Languages
J Gala, PA Chitale, R AK, S Doddapaneni, V Gumma, A Kumar, J Nawale, ...
arXiv preprint arXiv:2305.16307, 2023
In-context Example Selection for Machine Translation Using Multiple Features
A Kumar, A Kunchukuttan, R Puduppully, R Dabre
arXiv preprint arXiv:2305.14105, 2023
Decomposed Prompting for Machine Translation Between Related Languages using Large Language Models
R Puduppully, R Dabre, AT Aw, NF Chen
arXiv preprint arXiv:2305.13085, 2023
A Comprehensive Analysis of Adapter Efficiency
N Mundra, S Doddapaneni, R Dabre, A Kunchukuttan, R Puduppully, ...
arXiv preprint arXiv:2305.07491, 2023
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