基于预训练及控制码法的藏文律诗自动生成方法(Automatic Generation of Tibetan Poems based on Pre-training and Control Code Method)
Jia Secha (色差甲), Jiacuo Cizhen (慈祯嘉措), Jia Cairang (才让加), Cairang Huaguo (华果才让)
Abstract
“诗歌自动写作研究是自然语言生成的一个重要研究领域,被认为是极具挑战且有趣的任务之一。本文提出一种基于预训练及控制码法的藏文律诗生成方法。在藏文预训练语言模型上进行微调后生成质量显著提升,然而引入控制码法后在很大程度上确保了扣题程度,即关键词在生成诗作中的平均覆盖率居高。此外,在生成诗作中不仅提高词汇的丰富性,而且生成结果的多样性也明显提升。经测试表明,基于预训练及控制码法的生成方法显著优于基线方法。”- Anthology ID:
- 2022.ccl-1.33
- Volume:
- Proceedings of the 21st Chinese National Conference on Computational Linguistics
- Month:
- October
- Year:
- 2022
- Address:
- Nanchang, China
- Venue:
- CCL
- SIG:
- Publisher:
- Chinese Information Processing Society of China
- Note:
- Pages:
- 366–373
- Language:
- Chinese
- URL:
- https://aclanthology.org/2022.ccl-1.33
- DOI:
- Cite (ACL):
- Jia Secha, Jiacuo Cizhen, Jia Cairang, and Cairang Huaguo. 2022. 基于预训练及控制码法的藏文律诗自动生成方法(Automatic Generation of Tibetan Poems based on Pre-training and Control Code Method). In Proceedings of the 21st Chinese National Conference on Computational Linguistics, pages 366–373, Nanchang, China. Chinese Information Processing Society of China.
- Cite (Informal):
- 基于预训练及控制码法的藏文律诗自动生成方法(Automatic Generation of Tibetan Poems based on Pre-training and Control Code Method) (Secha et al., CCL 2022)
- PDF:
- https://preview.aclanthology.org/nodalida-main-page/2022.ccl-1.33.pdf