Cross-language text classification with convolutional neural networks

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dc.contributor.authorMusbah, Zaid
dc.contributor.authorLehinevych, Taras
dc.contributor.authorGlybovets, Аndrii
dc.date.accessioned2023-03-31T07:09:28Z
dc.date.available2023-03-31T07:09:28Z
dc.date.issued2017
dc.description.abstractText classification or text categorization problem is currently one of the most observed in the field of information and computer sciences. The task is to assign a text to one or more classes or categories and it becomes more difficult if we have to deal with different languages. This problem is called cross-language text classification problem. In our paper [1] was shown that cross-language multi-label text classification can be handled by a deep learning system without artificially embedding knowledge about words, phrases, sentences or any other syntactic or semantic structures associated with a language.en_US
dc.identifier.citationMusbah Z. Cross-language text classification with convolutional neural networks / Zaid Musbah, Taras Lehinevych, Аndrii Glybovets // Обчислювальний інтелект (результати, проблеми, перспективи) : матеріали ІV-ої Міжнародної науково-практичної конференції, 16-18 травня 2017 року, Україна, Київ / наук. ред. Снитюк В. Є. ; Київський національний університет ім. Тараса Шевченка. - Київ, 2017. - С. 178-179.uk_UA
dc.identifier.urihttps://ekmair.ukma.edu.ua/handle/123456789/24877
dc.language.isoen
dc.relation.sourceОбчислювальний інтелект (результати, проблеми, перспективи) : матеріали ІV-ої Міжнародної науково-практичної конференції, 16-18 травня 2017 року, Україна, Київuk_UA
dc.statusfirst publisheden_US
dc.subjecttext classificationen_US
dc.subjectcross-language text classification problemen_US
dc.subjectcross-language multi-label classification problem baseden_US
dc.subjectтези доповідіen_US
dc.titleCross-language text classification with convolutional neural networksen_US
dc.typeConference materialsen_US
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