title: ÐÐ²ÑÐ¾Ð¼Ð°ÑÐ¸ÑÐµÑÐºÐ°Ñ Ð³ÐµÐ½ÐµÑÐ°ÑÐ¸Ñ Ð·Ð°Ð³Ð¾Ð»Ð¾Ð²ÐºÐ¾Ð² Ð¸ Ð°Ð½Ð½Ð¾ÑÐ°ÑÐ¸Ð¹ Ð½Ð°ÑÑÐ½ÑÑ ÑÑÐ°ÑÐµÐ¹ Ñ Ð¿ÑÐ¸Ð¼ÐµÐ½ÐµÐ½Ð¸ÐµÐ¼ Ð¸ÑÐºÑÑÑÑÐ²ÐµÐ½Ð½ÑÑ Ð½ÐµÐ¹ÑÐ¾Ð½Ð½ÑÑ ÑÐµÑÐµÐ¹
title: Ð²ÑÐ¿ÑÑÐºÐ½Ð°Ñ ÐºÐ²Ð°Ð»Ð¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¾Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° Ð±Ð°ÐºÐ°Ð»Ð°Ð²ÑÐ°
titleType: Subtitle
title: The automatic generation of the titles and the abstracts of scientific articles using artificial neural networks
Creators: name: ÐÐ°Ð¿Ð»Ð°ÑÐ¸Ð½, ÐÐ»ÐµÐºÑÐµÐ¹
Publisher: name: Ð¡Ð°Ð½ÐºÑ-ÐÐµÑÐµÑÐ±ÑÑÐ³ÑÐºÐ¸Ð¹ Ð¿Ð¾Ð»Ð¸ÑÐµÑÐ½Ð¸ÑÐµÑÐºÐ¸Ð¹ ÑÐ½Ð¸Ð²ÐµÑÑÐ¸ÑÐµÑ ÐÐµÑÑÐ° ÐÐµÐ»Ð¸ÐºÐ¾Ð³Ð¾
Year: 2021
Subjects: Ð³ÐµÐ½ÐµÑÐ°ÑÐ¸Ñ Ð·Ð°Ð³Ð¾Ð»Ð¾Ð²ÐºÐ¾Ð² Ð¸ Ð°Ð½Ð½Ð¾ÑÐ°ÑÐ¸Ð¹
Ð¼ÐµÑ Ð°Ð½Ð¸Ð·Ð¼ Ð²Ð½Ð¸Ð¼Ð°Ð½Ð¸Ñ
Ð¾Ð±ÑÐ°Ð±Ð¾ÑÐºÐ° ÐµÑÑÐµÑÑÐ²ÐµÐ½Ð½Ð¾Ð³Ð¾ ÑÐ·ÑÐºÐ°
ÑÐµÐºÑÑÑÐµÐ½ÑÐ½ÑÐµ Ð½ÐµÐ¹ÑÐ¾Ð½Ð½ÑÐµ ÑÐµÑÐ¸
ÑÑÐ¼Ð¼Ð°ÑÐ¸Ð·Ð°ÑÐ¸Ñ
generation of titles and annotations
attention
natural language processing
recurrent neural networks
summarization

description: Ð¢ÐµÐ¼Ð° Ð²ÑÐ¿ÑÑÐºÐ½Ð¾Ð¹ ÐºÐ²Ð°Ð»Ð¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¾Ð½Ð½Ð¾Ð¹ ÑÐ°Ð±Ð¾ÑÑ: Â«ÐÐ²ÑÐ¾Ð¼Ð°ÑÐ¸ÑÐµÑÐºÐ°Ñ Ð³ÐµÐ½ÐµÑÐ°ÑÐ¸Ñ Ð·Ð°Ð³Ð¾Ð»Ð¾Ð²ÐºÐ¾Ð² Ð¸ Ð°Ð½Ð½Ð¾ÑÐ°ÑÐ¸Ð¹ Ð½Ð°ÑÑÐ½ÑÑ ÑÑÐ°ÑÐµÐ¹ Ñ Ð¿ÑÐ¸Ð¼ÐµÐ½ÐµÐ½Ð¸ÐµÐ¼ Ð¸ÑÐºÑÑÑÑÐ²ÐµÐ½Ð½ÑÑ Ð½ÐµÐ¹ÑÐ¾Ð½Ð½ÑÑ ÑÐµÑÐµÐ¹Â». Ð Ð´Ð°Ð½Ð½Ð¾Ð¹ ÑÐ°Ð±Ð¾ÑÐµ ÑÐ°ÑÑÐ¼Ð°ÑÑÐ¸Ð²Ð°ÐµÑÑÑ Ð¿ÑÐ¸Ð¼ÐµÐ½ÐµÐ½Ð¸Ðµ Ð¸ÑÐºÑÑÑÑÐ²ÐµÐ½Ð½ÑÑ Ð½ÐµÐ¹ÑÐ¾Ð½Ð½ÑÑ ÑÐµÑÐµÐ¹ Ð² Ð·Ð°Ð´Ð°ÑÐµ Ð³ÐµÐ½ÐµÑÐ°ÑÐ¸Ð¸ Ð·Ð°Ð³Ð¾Ð»Ð¾Ð²ÐºÐ¾Ð² Ð¸ Ð°Ð½Ð½Ð¾ÑÐ°ÑÐ¸Ð¹ Ð½Ð°ÑÑÐ½ÑÑ ÑÑÐ°ÑÐµÐ¹. ÐÑÐ¾Ð²ÐµÐ´ÐµÐ½ Ð¾Ð±Ð·Ð¾Ñ Ð½Ð°Ð¸Ð±Ð¾Ð»ÐµÐµ Ð¿Ð¾Ð¿ÑÐ»ÑÑÐ½ÑÑ Ð¼Ð¾Ð´ÐµÐ»ÐµÐ¹ Ð¸ Ð°ÑÑÐ¸ÑÐµÐºÑÑÑ ÑÐµÑÐµÐ¹: ÑÐµÐºÑÑÑÐµÐ½ÑÐ½ÑÐµ Ð½ÐµÐ¹ÑÐ¾Ð½Ð½ÑÐµ ÑÐµÑÐ¸, Ð³ÐµÐ½ÐµÑÐ°ÑÐ¸Ð²Ð½Ð°Ñ ÑÐ¾ÑÑÑÐ·Ð°ÑÐµÐ»ÑÐ½Ð°Ñ ÑÐµÑÑ, seq2seq, Ð° ÑÐ°ÐºÐ¶Ðµ ÑÐ°ÑÑÐ¼Ð¾ÑÑÐµÐ½Ñ ÑÑÑÐµÑÑÐ²ÑÑÑÐ¸Ðµ Ð¸Ð½ÑÑÑÑÐ¼ÐµÐ½ÑÑ Ð´Ð»Ñ Ð°Ð½Ð½Ð¾ÑÐ¸ÑÐ¾Ð²Ð°Ð½Ð¸Ñ ÑÐµÐºÑÑÐ°. ÐÐ¾Ð´ÑÐ¾Ð±Ð½Ð¾ Ð¾Ð¿Ð¸ÑÐ°Ð½Ð° Ð¸ ÑÐµÐ°Ð»Ð¸Ð·Ð¾Ð²Ð°Ð½Ð° Ð°ÑÑÐ¸ÑÐµÐºÑÑÑÐ° seq2seq Ñ LSTM Ð¸ GRU. ÐÑÐµÐ´ÑÑÐ°Ð²Ð»ÐµÐ½ Ð¿ÑÐ¾ÑÐµÑÑ ÑÐ¾Ð·Ð´Ð°Ð½Ð¸Ñ Ð½Ð°Ð±Ð¾ÑÐ¾Ð² Ð´Ð°Ð½Ð½ÑÑ, Ð° ÑÐ°ÐºÐ¶Ðµ Ð¾Ð±ÑÑÐµÐ½Ð¸Ñ Ð¼Ð¾Ð´ÐµÐ»ÐµÐ¹. ÐÐ¾Ð»ÑÑÐµÐ½Ð½ÑÐµ ÑÐµÐ·ÑÐ»ÑÑÐ°ÑÑ Ð±ÑÐ»Ð¸ Ð¿ÑÐ¾ÑÐµÑÑÐ¸ÑÐ¾Ð²Ð°Ð½Ñ Ð²ÑÑÑÐ½ÑÑ Ð¸ Ð°Ð²ÑÐ¾Ð¼Ð°ÑÐ¸ÑÐµÑÐºÐ¸ Ñ Ð¿Ð¾Ð¼Ð¾ÑÑÑ Ð¼ÐµÑÑÐ¸ÐºÐ¸ BLEU. ÐÑÐµÐ´Ð»Ð¾Ð¶ÐµÐ½Ñ Ð¸Ð´ÐµÐ¸ Ð´Ð»Ñ ÑÐ»ÑÑÑÐµÐ½Ð¸Ñ ÐºÐ°ÑÐµÑÑÐ²Ð° ÑÐµÐ°Ð»Ð¸Ð·Ð¾Ð²Ð°Ð½Ð½Ð¾Ð¹ Ð¼Ð¾Ð´ÐµÐ»Ð¸.
description: The subject of the graduate qualification work is Â«The automatic generation of the titles and the abstracts of scientific articles using artificial neural networksÂ». This paper describes the use of artificial neural networks for generating titles and abstracts of scientific articles. The review of the most popular network models and architectures, such as recurrent neural networks, generative adversarial network, Seq2seq was carried out. Additionally, the existing tools for text annotation were examined. The Seq2seq architecture with LSTM and GRU was described in detail, then implemented. The process of creating datasets as well as training models was presented. The results were tested manually and automatically using the BLEU metric. Ideas for improving the quality of the implemented model were proposed.