Abstract This article introduces the issue of recognition and normalisation of temporal expressions for the Polish language. We describe what temporal information is and we present TimeML specification, adapted to Polish as a model for the description of temporal expressions. Classes of temporal expressions are presented as well as guidelines for annotation, normalisation of these expressions and our approach to corpus annotation and temporal expressions recognition. The key aspect of the work is the description of the features used for the recognition, the use of the method for selection and creation of feature templates for the model of Conditional Random Fields. We demonstrate the experiments and conclusions drawn from them.

中文翻译：

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使用条件随机字段和部分规则的级联对时间表达式进行识别和归一化

摘要本文介绍了波兰语时间表达的识别和规范化问题。我们描述了什么是时间信息，并提出了TimeML规范，该规范适用于波兰语作为描述时间表达的模型。提出了时间表达的类别，以及注释的准则，这些表达的规范化以及我们的语料库注释和时间表达识别方法。这项工作的关键方面是对用于识别的特征的描述，对条件随机场模型的特征模板的选择和创建方法的使用。我们演示了从中得出的实验和结论。