Anais Do XXXVI Concurso De Teses E Dissertações (CTD 2023) 2023
DOI: 10.5753/ctd.2023.229471
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Text Representation through Multimodal Variational Autoencoder for One-Class Learning

Abstract: Multi-class learning (MCL) methods perform Automatic Text Classification (ATC), which requires labeling for all classes. MCL fails when there is no well-defined information about the classes and requires a great effort to label instances. One-Class Learning (OCL) can mitigate these limitations since the training only has instances from one class, reducing the labeling effort and making the ATC more appropriate for open-domain applications. However, OCL is more challenging due to the lack of counterexamples for… Show more

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