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論文タイトル：物語内の人物と場所情報の時系列可視化による読書支援
著者：西原陽子, Jiaxiu Ma, 山西良典
概要：This paper proposes a time-series visualization method of characters and positions in novel text. The proposed method will support users when they restart reading books. Once the already read part of a book is given, the proposed method extracts characters and positions every sentence and visualize them in time-series. As the intermediate report, we conducted experiments for a method of extraction of characters and positions. The averaged precision was from 0.88 to 0.98 and the averaged recall was from 0.79 to 0.97.
書誌情報：人工知能学会 インタラクティブ 情報アクセスと可視化マイニング研究会(第23回) SIG-AM-23-02
発表種別：研究会・全国大会論文
発表日：2019年11月21日