Аннотация
This study considers the problem of using small text datasets for learning of neural networks. We explore the method used for image and sound datasets that augments data in order to increase the performance of models trained on it. We propose a method for augmenting that is based on synonymy.
Язык оригинала | английский |
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Страницы (с-по) | 104-109 |
Число страниц | 6 |
Журнал | CEUR Workshop Proceedings |
Том | 2268 |
Состояние | Опубликовано - 2018 |
Событие | 7th International Conference on Analysis of Images, Social Networks and Texts - Supplementary, AIST-SUP 2018 - Moscow, Российская Федерация Продолжительность: 5 июл 2018 → 7 июл 2018 |