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When humans write, they may unintentionally omit some information.Complementing the omitted information using a computer is helpful in providingwriting support. Recently, in the field of story understanding and generation,story completion (SC) was proposed to generate the missing parts of anincomplete story. Although its applicability is limited because it requiresthat the user have prior knowledge of the missing part of a story, missingposition prediction (MPP) can be used to compensate for this problem. MPP aimsto predict the position of the missing part, but the prerequisite knowledgethat "one sentence is missing" is still required. In this study, we proposeVariable Number MPP (VN-MPP), a new MPP task that removes this restriction;that is, the task to predict multiple missing sentences or to judge whetherthere are no missing sentences in the first place. We also propose two methodsfor this new MPP task. Furthermore, based on the novel task and methods, wedeveloped a creative writing support system, COMPASS. The results of a userexperiment involving professional creators who write texts in Japanese confirmthe efficacy and utility of the developed system.

COMPASS: a Creative Support System that Alerts Novelists to the Unnoticed Missing Contents