Аннотация
Automatic poetry analysis is usually examined as subtask of natural language processing but approaches which are good for prose texts are ineffective for poetry due to free semantic characteristics. It allows us to use large corpus for training words order and rather small text corpus amount. In this paper we suggest the way to adapt poetry texts to prose ones by changing word order without loosing of model and also use word2vec features to improve the classifier work.
Язык оригинала | английский |
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Номер статьи | 012009 |
Журнал | Journal of Physics: Conference Series |
Том | 1405 |
Номер выпуска | 1 |
DOI | |
Состояние | Опубликовано - 4 дек 2019 |
Опубликовано для внешнего пользования | Да |
Событие | 2019 Big Data and Artificial Intelligence Conference - Moscow, Российская Федерация Продолжительность: 18 сен 2019 → 19 сен 2019 |