基于短语原型检索的可控古汉语歌词生成
Controllable Ancient Chinese Lyrics Generation Based on Phrase Prototype Retrieving
摘要：
歌词和诗歌的生成是自然语言处理（NLP）领域的重要下游任务之一。目前的方法在一些歌词生成场景中表现良好，但在需要精细控制的任务中需要进一步改进。我们提出了一种新的方法来生成中国古代歌词（宋词），一种类型的古代歌词，涉及到歌曲结构的精确控制。该系统配备了短语检索器和短语连接器。根据输入提示，短语检索器从数据库中挑选短语以构建短语池。短语连接器然后从短语池中选择一系列短语，其最小化考虑押韵、歌曲结构和流畅性的多项损失函数。实验结果表明，该方法能够生成高质量的古汉语歌词，同时在主题和歌曲结构控制方面表现良好。我们还希望我们的方法可以推广到其他歌词生成任务。
英文摘要：
Generating lyrics and poems is one of the essential downstream tasks in the Natural Language Processing (NLP) field. Current methods have performed well in some lyrics generation scenarios but need further improvements in tasks requiring fine control. We propose a novel method for generating ancient Chinese lyrics (Song Ci), a type of ancient lyrics that involves precise control of song structure. The system is equipped with a phrase retriever and a phrase connector. Based on an input prompt, the phrase retriever picks phrases from a database to construct a phrase pool. The phrase connector then selects a series of phrases from the phrase pool that minimizes a multi-term loss function that considers rhyme, song structure, and fluency. Experimental results show that our method can generate high-quality ancient Chinese lyrics while performing well on topic and song structure control. We also expect our approach to be generalized to other lyrics-generating tasks.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
