Journal of Robotics, Networking and Artificial Life

Volume 6, Issue 1, June 2019, Pages 23 - 26

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: t-ogata@iwate-pu.ac.jp
Corresponding Author
Takashi Ogata
Received 9 October 2017, Accepted 15 December 2017, Available Online 25 June 2019.
DOI
10.2991/jrnal.k.190531.005How to use a DOI?
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 Atlantis Press SARL.
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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Journal
Journal of Robotics, Networking and Artificial Life
Volume-Issue
6 - 1
Pages
23 - 26
Publication Date
2019/06/25
ISSN (Online)
2352-6386
ISSN (Print)
2405-9021
DOI
10.2991/jrnal.k.190531.005How to use a DOI?
Copyright
© 2019 The Authors. Published by Atlantis Press SARL.
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/).

Cite this article

TY  - JOUR
AU  - Takuya Ito
AU  - Takashi Ogata
PY  - 2019
DA  - 2019/06/25
TI  - A Framework for Haiku Generation from a Narrative
JO  - Journal of Robotics, Networking and Artificial Life
SP  - 23
EP  - 26
VL  - 6
IS  - 1
SN  - 2352-6386
UR  - https://doi.org/10.2991/jrnal.k.190531.005
DO  - 10.2991/jrnal.k.190531.005
ID  - Ito2019
ER  -