Problems with Evaluation of Unsupervised Empirical Grammatical Inference Systems
Problems with Evaluation of Unsupervised Empirical Grammatical Inference Systems
复制标题
无监督经验语法推理系统的评估问题
DOI：
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发表时间：
2008
期刊：
影响因子：
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通讯作者：
J. Geertzen
中科院分区：
文献类型：
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作者：
Menno van Zaanen;J. Geertzen
与理论语法推理系统相比，经验语法推断系统是从序列中学习结构的实用系统，这些系统证明了某些类别的语法。所有当前的经验语法推断评估方法都是有问题的，即对语言专家的依赖，数据基础语法的适当性和质量以及评估指标参数的影响。在这里，我们提出了一种评估方法的修改，以减少结果的歧义。
Empirical grammatical inference systems are practical systems that learn structure from sequences, in contrast to theoretical grammatical inference systems, which prove learnability of certain classes of grammars. All current empirical grammatical inference evaluation methods are problematic, i.e. dependency on language experts, appropriateness and quality of an underlying grammar of the data, and influence of the parameters of the evaluation metrics. Here, we propose a modification of an evaluation method to reduce the ambiguity of results.