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Template-Free Construction of Poems with Thematic Cohesion and Enjambment

机译:具有主题凝聚力和悬念的诗歌的免模板构建

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Existing poetry generation systems usually focus on particular features of poetry (such as rhythm, rhyme, metaphor) and specific techniques to achieve them. They often resort to template-base solutions, in which it is not always clear how many of the alleged features of the outputs were already present in the template employed. The present paper considers two specific features - thematic consistency, and enjambment - and presents an ngram based construction method that achieves these features without the use of templates. The construction procedure is not intended to produce poetry of high quality, only to achieve the features considered specifically in its design. A set of metrics is defined to capture these features in quantitative terms, and the metrics are applied to system outputs and to samples of both human and computer generated poetry. The results of these tests are discussed in terms of the danger of to ignoring certain features when designing construction procedures but valuing them during evaluation even if they arise from hard-wiring in the resources or serendipitous emergence, and the fundamental need for poets to develop a personal voice - fundamental for human poets and inconsistent with the application of Turing tests.
机译:现有的诗歌生成系统通常关注诗歌的特定特征(例如节奏,韵律,隐喻)和实现它们的特定技术。他们经常诉诸基于模板的解决方案,在这种解决方案中,并不总是很清楚所使用的模板中已经存在多少个所谓的输出功能。本文考虑了两个特定的功能-主题一致性和包容性-并提出了一种基于ngram的构造方法,该方法无需使用模板即可实现这些功能。建造过程并非旨在产生高品质的诗歌,仅是为了实现其设计中特别考虑的特征。定义了一组度量以定量地捕获这些特征,并将度量应用于系统输出以及人类和计算机生成的诗歌的样本。这些测试的结果讨论了以下风险:设计施工程序时可能会忽略某些功能,但在评估过程中会对其进行评估,即使这些功能是由于资源的艰苦布线或偶然出现而产生的,以及诗人发展基本能力的基本需求个人声音-是人类诗人的基本声音,与图灵测验的应用不一致。

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