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6 November 2019 Paraphrase generation and evaluation: a view from the trenches
Wiktor Franus, Bartłomiej Twardowski, Paweł Zawistowski, Robert M. Nowak
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Proceedings Volume 11176, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2019; 111761M (2019) https://doi.org/10.1117/12.2535741
Event: Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2019, 2019, Wilga, Poland
Abstract
In this paper we evaluate the current state of the art in natural language paraphrase generation using deep learning methods. The focus is put on the entire modeling pipeline from data gathering up to model evaluation. Specifically, we list the publicly available datasets suitable for this task, assess their quality and discuss procedures connected with data preparation and model training. Finally, we discuss problems related to the currently used evaluation approaches.
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Wiktor Franus, Bartłomiej Twardowski, Paweł Zawistowski, and Robert M. Nowak "Paraphrase generation and evaluation: a view from the trenches", Proc. SPIE 11176, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2019, 111761M (6 November 2019); https://doi.org/10.1117/12.2535741
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KEYWORDS
Computer programming
Neural networks
Modeling
Computer science
Artificial intelligence
Artificial neural networks
Machine learning
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