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

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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