BERT 式诗学：基于掩码语言模型的受限创作
计算与语言
2021-10-29 v1
摘要
掩码语言模型近来被解释为基于能量的序列模型，可使用 Metropolis–Hastings 采样器从中生成。这篇短论文展示了如何将此用于受限创作，并探讨了此种用法所隐含的诗学。我们对约束的关注使其特别适合通过 OuLiPo 运动的诗学来理解所生成的文本。
引用
@article{arxiv.2110.15181,
title = {BERTian Poetics: Constrained Composition with Masked LMs},
author = {Christopher Akiki and Martin Potthast},
journal= {arXiv preprint arXiv:2110.15181},
year = {2021}
}
备注
Accepted as a poster at the 2021 NeurIPS Workshop on Machine Learning for Creativity and Design