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Generating of Events Dictionaries from Polish WordNet for the Recognition of Events in Polish Documents

机译:从波兰WordNet生成事件词典,以便在波兰文档中识别事件

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In this article we present the result of the recent research in the recognition of events in Polish. Event recognition plays a major role in many natural language processing applications such as question answering or automatic summarization. We adapted TimeML specification (the well known guideline for English) to Polish language. We annotated 540 documents in Polish Corpus of Wroclaw University of Technology (KPWr) using our specification. Here we describe the results achieved by Liner2 (a machine learning toolkit) adapted to the recognition of events in Polish texts.
机译:在本文中,我们介绍了最近在抛光方面承认事件的研究结果。事件识别在许多自然语言处理应用程序中起主要作用,例如问题应答或自动摘要。我们调整了Timeml规范(众所周知的英语指南)到波兰语。我们使用我们的规范注释了弗罗茨瓦夫理工大学波兰大学(KPWR)的540件文件。在这里,我们描述了基于Liner2(机器学习工具包)实现的结果,适用于识别波兰语文本中的事件。

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