A title generation method with Transformer for journal articles

Abstract

While many methods of summarization have been proposed, there have been few methods to generate a title, especially for journal articles. However, the differences between summarization and creating a title are length and clause form. We propose a title generation model for a journal article based on Transformer, which refers to a wide range of the article. We propose to narrow down the abstract sentences to only important sentences before title generation so that the author's claim can be easily reflected in the title. We applied our method to journal articles published on arXiv.org and found that our model generated a title including words in the original title.