创造性写作自动支持中有用性的语言特征

Proceedings of the First Workshop on Storytelling Pub Date : 1900-01-01 DOI:10.18653/v1/W18-1502

Melissa Roemmele, A. Gordon

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引用次数: 13

摘要

我们研究了一个新兴的NLP应用程序，通过自动提示故事中的连续句子来支持创造性写作。该应用程序跟踪用户对生成的句子的修改，这可以用来量化他们在推动故事发展方面的“帮助”。我们探索了基于自动检测的建议语言特征来预测有用性的任务。我们使用与故事生成相关的初始特征选择，对一组用户与应用程序的交互进行了说明。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Linguistic Features of Helpfulness in Automated Support for Creative Writing

We examine an emerging NLP application that supports creative writing by automatically suggesting continuing sentences in a story. The application tracks users’ modifications to generated sentences, which can be used to quantify their “helpfulness” in advancing the story. We explore the task of predicting helpfulness based on automatically detected linguistic features of the suggestions. We illustrate this analysis on a set of user interactions with the application using an initial selection of features relevant to story generation.

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