COMPASS: a Creative Support System that Alerts Novelists to the Unnoticed Missing Contents
Yusuke Mori, Hiroaki Yamane, Ryohei Shimizu, Yusuke Mukuta, Tatsuya, Harada

TL;DR
This paper introduces COMPASS, a system that supports novelists by predicting multiple missing content segments in their writing, using a new variable number missing position prediction task to enhance creative writing assistance.
Contribution
The paper proposes VN-MPP, a novel task for predicting multiple missing sentences without prior knowledge, and develops COMPASS, a creative writing support system based on this task.
Findings
User experiment with professional Japanese writers confirmed system efficacy.
COMPASS effectively predicts multiple missing segments, aiding creative writing.
The new MPP task improves upon previous methods by removing prior knowledge restrictions.
Abstract
When humans write, they may unintentionally omit some information. Complementing the omitted information using a computer is helpful in providing writing support. Recently, in the field of story understanding and generation, story completion (SC) was proposed to generate the missing parts of an incomplete story. Although its applicability is limited because it requires that the user have prior knowledge of the missing part of a story, missing position prediction (MPP) can be used to compensate for this problem. MPP aims to predict the position of the missing part, but the prerequisite knowledge that "one sentence is missing" is still required. In this study, we propose Variable Number MPP (VN-MPP), a new MPP task that removes this restriction; that is, the task to predict multiple missing sentences or to judge whether there are no missing sentences in the first place. We also propose…
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Taxonomy
TopicsNatural Language Processing Techniques · Topic Modeling · Speech and dialogue systems
