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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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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 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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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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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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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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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 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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Exploiting Contextual Information for Speech/Non-Speech Detection, Sree Hari Krishnan Parthasarathi, Petr Motlicek and Hynek Hermansky, in: Text, Speech and Dialogue, Brno, Czech Republic, Springer-Verlag Berlin, Heidelberg, 2008
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Active Learning by Feature Mixing, Amin Parvaneh, Ehsan Abbasnejad, Damien Teney, Reza Haffari, Anton van den Hengel and Javen Qinfeng Shi, in: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
Learning to Learn, from Transfer Learning to Domain Adaptation: A Unifying Perspective, Novi Patricia and Barbara Caputo, in: Proceedings of the Computer Vision and Pattern Recognition, Columbus, OH, pages 1442-1449, IEEE, 2014
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Multi-Source Adaptive Learning for Fast Control of Prosthetics Hand, Novi Patricia, Tatiana Tommasi and Barbara Caputo, in: Proceedings of the International Conference on Pattern Recognition, Stockholm, pages 2769 - 2774, 2014
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