Data-Driven News Generation for Indonesian Municipal Election

Steffi Indrayani, M. L. Khodra
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引用次数: 2

Abstract

In order to fulfill the needs of journalistic automation, we develop automatic news generator that accepts structured data and user query and generates Indonesian news article. This paper employs template-based natural language generation in generating Indonesian municipal elections. Based on evaluation using Indonesian news characteristics as the evaluation metric by 15 linguistic experts and 25 active news readers, the average score of the generated news was 3.292 out of 4.
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数据驱动的印尼市政选举新闻生成
为了满足新闻自动化的需要,我们开发了自动新闻生成器,它接受结构化数据和用户查询,生成印尼语新闻文章。本文采用基于模板的自然语言生成来生成印度尼西亚市政选举。根据15位语言学专家和25位活跃新闻读者以印尼语新闻特征为评价指标的评价,生成的新闻的平均得分为3.292分(满分4分)。
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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