OS17-5 A Framework for Haiku Generation from a Narrative

Title:	OS17-5 A Framework for Haiku Generation from a Narrative
Publication:	ICAROB2018
Volume:	23
Pages:	679-682
ISSN:	2188-7829
DOI:	10.5954/ICAROB.2018.OS17-5
Author(s):	Takuya Ito, Takashi Ogata
Publication Date:	February 2, 2018
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-like sentences. The paper shows a basic method of generating haiku-like sentences 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.
PDF File:	https://alife-robotics.co.jp/members2018/icarob/data/html/data/OS_pdf/OS17/OS17-5.pdf
Copyright:	© The authors. This article is distributed under the terms of the Creative Commons Attribution License 4.0, which permits non-commercial use, distribution and reproduction in any medium, provided the original work is properly cited. See for details: https://creativecommons.org/licenses/by-nc/4.0/