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Onkar Litake
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L3Cube-MahaNER: A Marathi Named Entity Recognition Dataset and BERT models
RJ Onkar Litake, Maithili Ravindra Sabane, Parth Sachin Patil, Aparna ...
Proceedings of the WILDRE-6 Workshop within the 13th Language Resources and …, 2022
19*2022
Mono vs multilingual BERT: A case study in hindi and marathi named entity recognition
O Litake, M Sabane, P Patil, A Ranade, R Joshi
Proceedings of 3rd International Conference on Recent Trends in Machine …, 2022
14*2022
PICT@ DravidianLangTech-ACL2022: Neural machine translation on dravidian languages
A Vyawahare, R Tangsali, A Mandke, O Litake, D Kadam
Proceedings of the Second Workshop on Speech and Language Technologies for …, 2022
102022
Abstractive approaches to multidocument summarization of medical literature reviews
R Tangsali, AJ Vyawahare, AV Mandke, OR Litake, DD Kadam
Proceedings of the Third Workshop on Scholarly Document Processing, 199-203, 2022
72022
Optimize_Prime@ DravidianLangTech-ACL2022: Abusive Comment Detection in Tamil
S Patankar, O Gokhale, O Litake, A Mandke, D Kadam
Proceedings of the Second Workshop on Speech and Language Technologies for …, 2022
72022
Investigating transfer learning capabilities of vision transformers and CNNs by fine-tuning a single trainable block
D Malpure, O Litake, R Ingle
arXiv preprint arXiv:2110.05270, 2021
52021
Enhancing Low Resource NER using Assisting Language and Transfer Learning
M Sabane, A Ranade, O Litake, P Patil, R Joshi, D Kadam
2023 2nd International Conference on Applied Artificial Intelligence and …, 2023
22023
To Train or Not to Train: Predicting the Performance of Massively Multilingual Models
S Patankar, O Gokhale, O Litake, A Mandke, D Kadam
Proceedings of the First Workshop on Scaling Up Multilingual Evaluation, 8-12, 2022
22022
Breaking Language Barriers: A Question Answering Dataset for Hindi and Marathi
M Sabane, O Litake, A Chadha
arXiv preprint arXiv:2308.09862, 2023
12023
Suggesting Relevant Questions for a Query Using Statistical Natural Language Processing Technique
S Nayak, A Kanetkar, H Hirudkar, A Ghotkar, S Sonawane, O Litake
ICEI-2022, 2022
12022
Analyzing Architectures for Neural Machine Translation Using Low Computational Resources
A Mandke, O Litake, D Kadam
International Journal on Natural Language Computing (IJNLC), 2021
12021
Constructing synthetic datasets with generative artificial intelligence to train large language models to classify acute renal failure from clinical notes
O Litake, BH Park, JL Tully, RA Gabriel
Journal of the American Medical Informatics Association, ocae081, 2024
2024
IndiText Boost: Text Augmentation for Low Resource India Languages
O Litake, N Yagnik, S Labhsetwar
arXiv preprint arXiv:2401.13085, 2024
2024
Improving long COVID-related text classification: a novel end-to-end domain-adaptive paraphrasing framework
SA Somayajula, O Litake, Y Liang, R Hosseini, S Nemati, DO Wilson, ...
Scientific Reports 14 (1), 85, 2024
2024
Unsupervised and Very-Low Resource Supervised Translation on German and Sorbian Variant Languages
R Tangsali, A Vyawahare, A Mandke, O Litake, D Kadam
Proceedings of the Seventh Conference on Machine Translation (WMT), 1104-1110, 2022
2022
Optimize_Prime@ DravidianLangTech-ACL2022: Emotion Analysis in Tamil
O Gokhale, S Patankar, O Litake, A Mandke, D Kadam
Proceedings of the Second Workshop on Speech and Language Technologies for …, 2022
2022
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Articles 1–16