Использование глубокого обучения для таможенной классификации товаров по их текстовым описаниям

Авторы

Соченков И. В. Рыжова А. А.

Аннотация

The article is devoted to the customs classification of goods based on their textual descriptions. In our work we propose different machine and deep learning models for solving this task using two variants of datasets: with or without duplicates. Finally we discuss and compare the obtained results.

Внешние ссылки

DOI: http://dx.doi.org/10.1109/ISPRAS47671.2019.00014

ResearchGate: https://www.researchgate.net/publication/339256997_Deep_Learning_for_Customs_Classification_of_Goods_Based_on_Their_Textual_Descriptions_Analysis

Ссылка при цитировании

Ryzhova, A; Sochenkov I. Deep learning for customs classification of goods based on their textual descriptions analysis // In Proceedings - 2019 Ivannikov ISP RAS Open Conference, ISPRAS 2019, p.p. 60-67 DOI: 10.1109/ISPRAS47671.2019.00014.