  The formulation of good academic paper titles in English is challenging for
intermediate English authors (particularly students). This is because such
authors are not aware of the type of titles that are generally in use. We aim
to realize a support system for formulating more effective English titles for
intermediate English and beginner authors. This study develops an extractive
title generation system that formulates titles from keywords extracted from an
abstract. Moreover, we realize a title evaluation model that can evaluate the
appropriateness of paper titles. We train the model with titles of
top-conference papers by using BERT. This paper describes the training data,
implementation, and experimental results. The results show that our evaluation
model can identify top-conference titles more effectively than intermediate
English and beginner students.
