J Belouadi, S Eger - arXiv preprint arXiv:2212.10474, 2022 - arxiv.org
State-of-the-art poetry generation systems are often complex. They either consist of task- specific model pipelines, incorporate prior knowledge in the form of manually created …
Motivated by the recent progresses on machine learning-based models that learn artistic styles, in this paper we focus on the problem of poem generation. This is a challenging task …
J Hu, M Sun - arXiv preprint arXiv:2003.11528, 2020 - arxiv.org
Poetry generation is an interesting research topic in the field of text generation. As one of the most valuable literary and cultural heritages of China, Chinese classical poetry is very …
Poetry Generation involves teaching systems to automatically generate text that resembles poetic work. A deep learning system can learn to generate poetry on its own by training on a …
Computer poetry generation is our first step towards computer writing. Writing must have a theme. The current approaches of using sequence-to-sequence models with attention often …
X Yi, M Sun, R Li, W Li - Proceedings of the 2018 Conference on …, 2018 - aclanthology.org
Poetry is one of the most beautiful forms of human language art. As a crucial step towards computer creativity, automatic poetry generation has drawn researchers' attention for …
In this paper, we propose a joint architecture that captures language, rhyme and meter for sonnet modelling. We assess the quality of generated poems using crowd and expert …
J Li, Y Song, H Zhang, D Chen, S Shi… - Proceedings of the …, 2018 - aclanthology.org
It is a challenging task to automatically compose poems with not only fluent expressions but also aesthetic wording. Although much attention has been paid to this task and promising …
We describe Hafez, a program that generates any number of distinct poems on a usersupplied topic. Poems obey rhythmic and rhyme constraints. We describe the …