Kevin Michael Amaral

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Text simplification (TS) aims to reduce the lexical and structural complexity of a text, while still retaining the semantic meaning. Current automatic TS techniques are limited to either lexical-level applications or manually defining a large amount of rules. Since deep neural networks are powerful models that have achieved excellent performance over many(More)
Classification has been an active field in machine learning for decades. With many methods proposed for various topics in classification, this paper intends to show some initial ideas and findings in one classification scenario where accuracy of only one or a few classes is greatly valued, while the other classes are not important. Using a neural network(More)
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