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Waking Up a Sleeping Rabbit: On Natural-Language Sentence Generation with FF

机译:醒来睡觉的兔子:关于使用FF的自然语言句子

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We present a planning domain that encodes the problem of generating natural language sentences. This domain has a number of features that provoke fairly unusual behavior in planners. In particular, hitherto no existing automated planner was sufficiently effective to be of practical value in this application. We analyze in detail the reasons for ineffectiveness in FF, resulting in a few minor implementation fixes in FF's preprocessor, and in a basic reconfiguration of its search options. The performance of the modified FF is up to several orders of magnitude better than that of the original FF, and for the first time makes automated planners a practical possibility for this application. Beside thus highlighting the importance of preprocessing and automated configuration techniques, we show that the domain still poses several interesting challenges to the development of search heuristics.
机译:我们介绍了一个规划域,它编码了生成自然语言句子的问题。该域具有许多功能,在规划者中挑起了相当不寻常的行为。特别是,迄今为止没有现有的自动规划师在本申请中具有足够有效的实用价值。我们详细介绍了FF无效的原因,从而导致FF的预处理器中的一些小型实施修复,并在其搜索选项的基本重新配置中。修改的FF的性能比原始FF的性能更好,并且首次使自动规划仪成为此应用的实际可能性。除此之外,突出了预处理和自动配置技术的重要性,我们表明该领域仍然对搜索启发式的发展带来了几个有趣的挑战。

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