Методи абстрактного реферування текстів: огляд літератури

• Дата: 2019
• Автори: Shypik, D. V., Bidyuk, Petro I.
• Формат: Стаття
• Мова: English
• Опубліковано: The National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute" 2019
• Теми: обробка природної мови; реферування тексту; абстрактне реферування тексту; sequence to sequence моделі; natural language processing; text summarization; abstractive text summarization; sequence to sequence models; обработка естественного языка; реферирование текста; абстрактное реферирование текста; sequence to sequence модели
• Онлайн доступ: http://journal.iasa.kpi.ua/article/view/188372
• Назва журналу: System research and information technologies

The paper contains a literature review for automatic abstractive text summarization. The classification of abstractive text summarization methods was considered. Since the emergence of text summarization in the 1950s, techniques for summaries generation were constantly improving, but because the abstractive summarization require extensive language processing, the greatest progress was achieved only recently. Due to the current fast pace of development of both Natural Language Processing in general and Text Summarization in particular, it is essential to analyze the progress in these areas. The paper aims to give a general perspective on both the state-of-the-art and older approaches, while explaining the methods and approaches. Additionally, evaluation results of the research papers are presented.