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Evaluation of Uryupina's Coreference Resolution Features for Polish

机译:评估URYUPININA的练习分辨率的抛光功能

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Coreference is usually defined as phenomenon consisting in different expressions relating to the same referent. Therefore automatic coreference resolution is an extremely difficult and complex task. It can be approached in two different ways: using rule-based tools or machine learning. This article is dedicated to the second approach and describes an evaluation of a set of surface, syntactic, discourse, salience and anaphoric features proposed by Uryupina and their usefulness for coreference resolution in Polish texts.
机译:Coreference通常被定义为与与相同指示相关的不同表达式的现象。因此,自动COSTERED解析是一个非常困难和复杂的任务。它可以以两种不同的方式接近:使用基于规则的工具或机器学习。本文致力于第二种方法,并描述了URYUPINA提出的一组表面,句法,话语,显着和视力特征的评估及其在波兰语文本中的练习分辨率的实用性。

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