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Rahul Tangsali
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2020 – today
- 2023
- [c5]Aabha Pingle, Aditya Vyawahare, Isha Joshi, Rahul Tangsali, Raviraj Joshi:
L3Cube-MahaSent-MD: A Multi-domain Marathi Sentiment Analysis Dataset and Transformer Models. PACLIC 2023: 274-281 - [c4]Shashank Rathi, Siddhesh Pande, Harshwardhan Atkare, Rahul Tangsali, Aditya Vyawahare, Dipali Kadam:
Trinity at SemEval-2023 Task 12: Sentiment Analysis for Low-resource African Languages using Twitter Dataset. SemEval@ACL 2023: 1161-1165 - [i4]Aabha Pingle, Aditya Vyawahare, Isha Joshi, Rahul Tangsali, Raviraj Joshi:
L3Cube-MahaSent-MD: A Multi-domain Marathi Sentiment Analysis Dataset and Transformer Models. CoRR abs/2306.13888 (2023) - [i3]Aabha Pingle, Aditya Vyawahare, Isha Joshi, Rahul Tangsali, Geetanjali Kale, Raviraj Joshi:
Robust Sentiment Analysis for Low Resource languages Using Data Augmentation Approaches: A Case Study in Marathi. CoRR abs/2310.00734 (2023) - 2022
- [c3]Rahul Tangsali, Aditya Jagdish Vyawahare, Aditya Vyankatesh Mandke, Onkar Rupesh Litake, Dipali Dattatray Kadam:
Abstractive Approaches To Multidocument Summarization Of Medical Literature Reviews. SDP@COLING 2022: 199-203 - [c2]Rahul Tangsali, Aabha Pingle, Aditya Vyawahare, Isha Joshi, Raviraj Joshi:
Implementing Deep Learning-Based Approaches for Article Summarization in Indian Languages. FIRE (Working Notes) 2022: 449-463 - [c1]Rahul Tangsali, Aditya Vyawahare, Aditya Mandke, Onkar Litake, Dipali Kadam:
Unsupervised and Very-Low Resource Supervised Translation on German and Sorbian Variant Languages. WMT 2022: 1104-1110 - [i2]Aditya Vyawahare, Rahul Tangsali, Aditya Mandke, Onkar Litake, Dipali Kadam:
PICT@DravidianLangTech-ACL2022: Neural Machine Translation On Dravidian Languages. CoRR abs/2204.09098 (2022) - [i1]Rahul Tangsali, Aabha Pingle, Aditya Vyawahare, Isha Joshi, Raviraj Joshi:
Implementing Deep Learning-Based Approaches for Article Summarization in Indian Languages. CoRR abs/2212.05702 (2022)
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