Abstract
In this paper, the authors propose an “unchiku generation mechanism” they have developed to create deep rhetorical structures (narrative discourses) in a narrative. The system uses a mechanism that can generate unchiku, which refers to the detailed and excessive knowledge regarding a specific object, theme, or topic. In particular, the attribute information of each noun concept is automatically extracted from the Japanese Wikipedia and stored in the noun conceptual dictionary of an integrated narrative generation system. The proposed generation mechanism enables the generation of unchiku information related to various objects and topics by inserting parts of the extracted unchiku knowledge content into various points in the story created by the integrated narrative generation system. The attribute information related to Kabuki is derived from the Japanese Wikipedia and utilized by the formulated unchiku generation mechanism.
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Acknowledgements
The research for this chapter was supported by the Japan Society for the Promotion of Science (JSPS KAKENHI), Grant No. 18K18509.
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Ono, J., Ogata, T. (2020). Unchiku Generation Using Narrative Explanation Mechanism. In: Ishita, E., Pang, N.L.S., Zhou, L. (eds) Digital Libraries at Times of Massive Societal Transition. ICADL 2020. Lecture Notes in Computer Science(), vol 12504. Springer, Cham. https://doi.org/10.1007/978-3-030-64452-9_21
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