Automatic Generation of Structured Abstracts from Research Papers by using Deep Learning

Abstract

In recent years, the volume of research papers has become enormous. Therefore, it is difficult for researchers to select their required papers. To lighten this problem, a method of describing abstracts called "Structured Abstract" is used in the fields of physiology and medicine. This paper proposes a method that extracts sentences matching with each heading of Structured Abstract. Specifically, SciBERT and BioBERT, which are specialized in the science and technology fields, are used in the method. The effectiveness of the proposed method is evaluated by comparing automatically generated abstracts and human-written abstracts.