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Shantipriya Parida
First name(s): Shantipriya
Last name(s): Parida
Email: shantipriya.parida@idiap.ch
Institute: Idiap Research Institute
URL:https://www.idiap.ch/~sparida/...

Publications of Shantipriya Parida sorted by title

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Abstract Text Summarization: A Low Resource Challenge, Shantipriya Parida and Petr Motlicek, in: In Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP 2019), HongKong, China, pages 5, Association for Computational Linguistics (ACL), 2019
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BertAA: BERT fine-tuning for Authorship Attribution, Mael Fabien, Esaú VILLATORO-TELLO, Petr Motlicek and Shantipriya Parida, in: Proceedings of the 17th International Conference on Natural Language Processing, 2020
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Detection of Similar Languages and Dialects Using Deep Supervised Autoencoders, Shantipriya Parida, Esaú VILLATORO-TELLO, Sajit Kumar, Mael Fabien and Petr Motlicek, in: Proceedings of the 17th International Conference on Natural Language Processing, 2020
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Idiap & UAM participation at GermEval 2020: Classification and Regression of Cognitive and Motivational Style from Text, Esaú VILLATORO-TELLO, Shantipriya Parida, Sajit Kumar, Petr Motlicek and Qingran Zhan, in: Proceedings of the GermEval 2020 Shared Task on the Classification and Regression of Cognitive and Motivational style from Text, 2020
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Idiap Abstract Text Summarization System for German Text Summarization Task, Shantipriya Parida and Petr Motlicek, in: Proceedings of the 4th edition of the Swiss Text Analytics Conference, 2019
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Idiap and UAM Participation at MEX-A3T Evaluation Campaign, Esaú VILLATORO-TELLO, Gabriela Ramírez-de-la-Rosa, Shantipriya Parida, Sajit Kumar and Petr Motlicek, in: Proceedings of the Iberian Languages Evaluation Forum (IberLEF 2020) co-located with 36th Conference of the Spanish Society for Natural Language Processing (SEPLN 2020), pages 6, CEUR Workshop Proceedings, 2020
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Idiap NMT System for WAT 2019 Multimodal Translation Task, Shantipriya Parida and Petr Motlicek, in: Proceedings of the 6th Workshop on Asian Translation, Hong Kong, China, pages 175–180, Association for Computational Linguistics, 2019
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Idiap Submission to Swiss-German Language Detection Shared Task, Shantipriya Parida, Esaú VILLATORO-TELLO, Sajit Kumar, Petr Motlicek and Qingran Zhan, in: Proceedings of the 5th Swiss Text Analytics Conference (SwissText) & 16th Conference on Natural Language Processing (KONVENS), CEUR Workshop Proceedings, 2020
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Multimodal Neural Machine Translation System for English to Bengali, Shantipriya Parida, Subhadarshi Panda, Satya Prakash Biswal, Ketan Kotwal, Arghyadeep Sen, Satya Ranjan Dash and Petr Motlicek, in: Proceedings of the First Workshop on Multimodal Machine Translation for Low Resource Languages (MMTLRL 2021), Online (Virtual Mode), pages 31--39, INCOMA Ltd., 2021
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NLPHut's Participation at WAT2021, Shantipriya Parida, Subhadarshi Panda, Ketan Kotwal, Amulya Ratna Dash, Satya Ranjan Dash, Yashvardhan Sharma, Petr Motlicek and Ondrej Bojar, in: Proceedings of the 8th Workshop on Asian Translation (WAT2021), pages 146--154, Association for Computational Linguistics, 2021
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Open Machine Translation for Low Resource South American Languages (AmericasNLP 2021 Shared Task Contribution), Shantipriya Parida, Subhadarshi Panda, Amulya Ratna Dash, Esaú VILLATORO-TELLO, A. Seza Dogruöz, Rosa M. Ortega-Mendoza, Amadeo Hernández, Yashvardhan Sharma and Petr Motlicek, in: Proceedings of the First Workshop on Natural Language Processing for Indigenous Languages of the Americas, pages 218–223, Association for Computational Linguistics, 2021
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Overview of the 6th Workshop on Asian Translation, Shantipriya Parida, in: Proceedings of the 6th Workshop on Asian Translation, Hong Kong, China, pages 1–35, Association for Computational Linguistics, 2019
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ROXSD: a Simulated Dataset of Communication in Organized Crime, Hoang H. Nguyen, Mael Fabien, Petr Motlicek, Shantipriya Parida and Kvetoslav Maly, in: 1st ISCA Symposium on Security and Privacy in Speech Communication, 2021
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Semantic Behavior Analysis of COVID-19 Patients: A Collaborative Framework, Amlan Mohanty, Debasish Kumar Mallick, Shantipriya Parida and Satya Ranjan Dash, in: Machine Learning for Healthcare Applications, John Wiley & Sons, Inc. USA and Scrivener Publishing LLC, USA, 2021
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