A Framework for Haiku Generation from a Narrative

Authors
Takuya Ito, Takashi Ogata*
Faculty of Software and Information Science, Iwate Prefectural University, Sugo 152-52, Takizawa, Iwate, Japan
*Corresponding author. Email: [email protected]
Corresponding Author
Takashi Ogata
Received 9 October 2017, Accepted 15 December 2017, Available Online 25 June 2019.
DOI
https://doi.org/10.2991/jrnal.k.190531.005
Keywords
Artificial intelligence; narrative generation; haiku; haiku-like sentence; haiku generation
Abstract
The primary goal of the authors’ research related to the generation of narratives and haikus is to complete a mutual transformation mechanism between a narrative and a haiku. In this work, the authors propose a framework for transforming a narrative into haiku. The paper shows a basic method of generating haiku from a fragmented narrative by selecting, arranging, and modifying the elements in the narrative. The authors have been developing an Integrated Narrative Generation System (INGS) that automatically generates narratives. The authors aim to introduce the developed haiku-relating mechanism into the INGS in the future.
Copyright
© 2019 The Authors. Published by ALife Robotics Corp. Ltd.
Open Access
This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).

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