Poetry Generation Model via Deep learning incorporating Extended Phonetic and Semantic Embeddings-Reference-Cited by-同舟云学术

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Poetry Generation Model via Deep learning incorporating Extended Phonetic and Semantic Embeddings

Published:2021-01 Issue: Volume: Page:
ISSN:
Container-title:2021 IEEE 15th International Conference on Semantic Computing (ICSC)
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Author:

Talafha Sameerah,Rekabdar Banafsheh

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9364351/9364371/09364588.pdf?arnumber=9364588

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Pashto poetry generation: deep learning with pre-trained transformers for low-resource languages;PeerJ Computer Science;2024-08-30

2. Machine Masquerades a Poet: Using Unsupervised T5 Transformer for Semantic Style Transformation in Poetry Generation;Communications in Computer and Information Science;2023-10-24

3. Improving news headline text generation quality through frequent POS-Tag patterns analysis;Engineering Applications of Artificial Intelligence;2023-10

4. Automatic Generation of Ancient Poetry Based on Generative Adversarial Network;Business Intelligence and Information Technology;2023

5. Finding contrasting patterns in rhythmic properties between prose and poetry;Physica A: Statistical Mechanics and its Applications;2022-07

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