{"type":"ScholarlyArticle","title":"Haiku Generator that Reads Blogs and Illustrates Them with Sounds and Images","authors":[{"name":"Rafal Rzepka","slug":"rafal-rzepka","given":"Rafal","family":"Rzepka","affiliation":""},{"name":"Kenji Araki","slug":"kenji-araki","given":"Kenji","family":"Araki","affiliation":""}],"abstract":"In this paper we introduce our haiku generator, which, in contrast to other systems, is not restricted to limited classic vocabulary sets and preserves a classic style without becoming too random and abstract because it performs a semantic integrity check using the Internet. Moreover, it is able to analyze blog entry input and, by using nouns and adjectives for web-mining, to stay on topic and still preserve kigo, traditional seasonal words used in Japanese poetry. The haiku generator utilizes grammar templates automatically generated from poems written by Japanese poets and a lexicon of 2,473 kigo words from an online haiku repository. In addition to generating haiku poems, it can output them vocally together with related sound effects and images retrieved from the WWW. Our experiments demonstrate that the proposed system generates high-quality haikus and that using content-related input and multimedia-rich output is effective for increasing users' satisfaction. We have performed impression evaluation experiments and confirmed that our method is especially useful for generating haikus with higher depth and sound-sharpness, which are two very important categories in professional evaluation of Japanese poetry. Next, haikus generated using the proposed method were evaluated by blog authors and blog readers and again, the proposed method outperformed the baseline. We also measured how the presence or absence of multimedia output influenced the evaluation. While using both vocal output and an image achieved higher scores than text alone, there were cases in which some combinations of effects were evaluated higher than all the effects used together. With our original approach to generating poetry, we wish to show the importance of new media and possibilities that are arising from the utilization of the wisdom of (web-)crowds in order to achieve higher standards for AI-generated art.","doi":null,"url":"https://ijcai.org/proceedings/2015/354","pdf":"https://ijcai.org/proceedings/2015/0354.pdf","markdown":"https://ijcai.org/proceedings/2015/354.md","bibtex":"https://ijcai.org/proceedings/2015/bibtex/354","volume":{"slug":"2015","title":"Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence","short_title":"IJCAI 2015","url":"https://ijcai.org/proceedings/2015/","year":2015,"location":"Buenos Aires, Argentina","dates":"25–31 July 2015","editors":"Qiang Yang and Michael Wooldridge","isbn":"978-1-57735-738-4","publisher":"International Joint Conferences on Artificial Intelligence","doi_prefix":""},"section":"Special Track on Artificial Intelligence and the Arts","track":"Special Track on Artificial Intelligence and the Arts","number":354,"pages":{"first":2496,"last":2501},"keywords":[],"videos":[],"references":[],"license_note":"Copyright International Joint Conferences on Artificial Intelligence."}