论文标题
GPOET-2：基于GPT-2的诗发电机
GPoeT-2: A GPT-2 Based Poem Generator
论文作者
论文摘要
该项目旨在产生下一卷机器生成的诗歌，这是一种可以结构化和非结构化的复杂艺术形式，并在线条之间的含义中深处。 GPOET-2基于微调的天然语言模型（即GPT-2）生成石油的状态，通常是幽默的结构化诗歌，该诗歌由五行和AABBA押韵方案组成。 With a two-stage generation system utilizing both forward and reverse language modeling, GPoeT-2 is capable of freely generating limericks in diverse topics while following the rhyming structure without any seed phrase or a posteriori constraints.Based on the automated generation process, we explore a wide variety of evaluation metrics to quantify "good poetry," including syntactical correctness, lexical diversity, and subject continuity.最后，我们介绍了94个分类的石灰机，这些集合在探索的“好诗歌”指标中高度排名，以激发人类创造力。
This project aims to produce the next volume of machine-generated poetry, a complex art form that can be structured and unstructured, and carries depth in the meaning between the lines. GPoeT-2 is based on fine-tuning a state of the art natural language model (i.e. GPT-2) to generate limericks, typically humorous structured poems consisting of five lines with a AABBA rhyming scheme. With a two-stage generation system utilizing both forward and reverse language modeling, GPoeT-2 is capable of freely generating limericks in diverse topics while following the rhyming structure without any seed phrase or a posteriori constraints.Based on the automated generation process, we explore a wide variety of evaluation metrics to quantify "good poetry," including syntactical correctness, lexical diversity, and subject continuity. Finally, we present a collection of 94 categorized limericks that rank highly on the explored "good poetry" metrics to provoke human creativity.
