Rhyming Knowledge-Aware Deep Neural Network for Chinese Poetry Generation

Yeh, Wen-Chao; Chang, Yuan‐Chieh; Li, Yu-Hsuan; Chang, Wei-Chieh

doi:10.1109/icmlc48188.2019.8949208

Cited by 4 publications

(2 citation statements)

References 12 publications

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“…In the context of AI-generated calligraphy, we judge the effectiveness by the level of intimacy to the human handwriting. Similarly, we should also evaluate AI-generated poetry through its fluency, meaningfulness, phonological compliance, and coherence [138,217]. As such, Deng et al [42] attempt to narrow down the performance between poetry generated by human beings and machines.…”

Section: Poetrymentioning

confidence: 99%

When Creators Meet the Metaverse: A Survey on Computational Arts

Lee

Lin²,

Hu³

et al. 2021

Preprint

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The metaverse, enormous virtual-physical cyberspace, has brought unprecedented opportunities for artists to blend every corner of our physical surroundings with digital creativity. This article conducts a comprehensive survey on computational arts, in which seven critical topics are relevant to the metaverse, describing novel artworks in blended virtual-physical realities. The topics first cover the building elements for the metaverse, e.g., virtual scenes and characters, auditory, textual elements. Next, several remarkable types of novel creations in the expanded horizons of metaverse cyberspace have been reflected, such as immersive arts, robotic arts, and other user-centric approaches fuelling contemporary creative outputs. Finally, we propose several research agendas: democratising computational arts, digital privacy and safety for metaverse artists, ownership recognition for digital artworks, technological challenges, and so on. The survey also serves as introductory material for artists and metaverse technologists to begin creations in the realm of surrealistic cyberspace.CCS Concepts: • Human-centered computing → Mixed / augmented reality; Graphical user interfaces; • Computing methodologies → Machine learning approaches.

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Section: Poetrymentioning

confidence: 99%

When Creators Meet the Metaverse: A Survey on Computational Arts

Lee

Lin²,

Hu³

et al. 2021

Preprint

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“…This study aims to illustrate the melodiousness of the Poem and set up a standard of how to compose a poem melodiously. We found some researcher works for poem domain such as classify the poem [3]- [6], extract features poem [7], poetry generation [8]- [10], evaluation poem [11], translated poetry [12]- [14], poem entity recognition [15], and analysis of the melodiousness of the Poem [16]- [18]. Nobody has researched extracting the melodious sound patterns before.…”

Section: Issn 2442-6571mentioning

confidence: 99%

The extraction of beautiful sound patterns from Sunthorn Phu’s poem using machine learning technique and internal rhyme rule

Suksanguan

Waijanya

Promrit

2021

Int. J. Adv. Intell. Informatics

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The melodious poems have been written from the distinctive features of poetry or based on each country's typical style. Especially, Thai poems which composed by the use of specific forming, such as Internal Rhyme to develop melodiousness. The most attractive and well-known poems were composed by a genius Thai poet named Sunthorn Phu. He is a role model for Thai poets. UNESCO honored him as the world’s great poet and the best role model in poetry works. In this article, we proposed extracting 15,796 sentences (Waks) of the beautiful sound patterns of Phra Aphai Mani’s tales by machine learning technology in conjunction with the rules of internal Rhyme Klon-Suphap by using the Apriori Algorithm. The extraction of vowel rhymes separated by a group of Waks including 1) Poem Wak No. 1; 2) Poem Wak No. 2; 3) Poem Wak No. 3; and 4) Poem Wak No. 4. In this article, “Wak” means sentence. The created tool can extract the internal rhyme patterns and the 25 popular pattern vowels. The popular pattern illustrates the melodiousness of the Poem and sets up a standard of how to melodiously compose a poem. Then, the evaluation of the experiments was done by using 144 Waks selected from the extraction of the beautiful patterns and evaluated by the consistency score from 3 experts. The average accuracy score resulted in 95.30%.

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Research on acrostic poem generation based on handwritten Chinese character recognition and machine learning

Jia

et al. 2020

2020 Chinese Automation Congress (CAC)

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Rhyming Knowledge-Aware Deep Neural Network for Chinese Poetry Generation

Cited by 4 publications

References 12 publications

When Creators Meet the Metaverse: A Survey on Computational Arts

When Creators Meet the Metaverse: A Survey on Computational Arts

The extraction of beautiful sound patterns from Sunthorn Phu’s poem using machine learning technique and internal rhyme rule

Research on acrostic poem generation based on handwritten Chinese character recognition and machine learning

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