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

机译:唤醒熟睡中的兔子:使用FF进行自然语言句子生成

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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:我们提出了一个计划域,该域对生成自然语言句子的问题进行编码。此域具有许多功能,这些功能在计划人员中引起了相当不寻常的行为。尤其是,迄今为止,没有现有的自动计划器在此应用中具有足够的实用价值。我们将详细分析FF无效的原因,从而导致FF的预处理器中有一些次要的实现修复,并且对其搜索选项进行了基本的重新配置。修改后的FF的性能比原始FF的性能提高了几个数量级,并且首次使自动计划器对于此应用成为了实际可行的可能性。因此,除了强调预处理和自动配置技术的重要性外,我们还显示了该域仍然对搜索启发式方法的开发提出了一些有趣的挑战。

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