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Methods of Linking Linguistic Resources for Semantic Role Labeling

机译:连接语言资源的语义角色标记方法

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This paper presents the process of enriching the verb frame database of a Hungarian natural language parser to enable the assignment of semantic roles. We accomplished this by linking the parser's verb frame database to existing linguistic resources such as VerbNet and WordNet, and automatically transferring back semantic knowledge. We developed OWL ontologies that map the various constraint description formalisms of the linked resources and employed a logical reasoning device to facilitate the linking procedure. We present results and discuss the challenges and pitfalls that arose from this undertaking. We also compare our rule-based approach with that of using a state-of-the-art English semantic role labeler pipeline for the thematic role transferring task.
机译:本文介绍了丰富匈牙利自然语言解析器的动词框架数据库,以实现语义角色的分配。我们通过将Parser的动词框数据库链接到现有的语言资源(如蜘蛛网和Wordnet),并自动传输语义知识来完成此目的。我们开发了映射联系资源的各种约束描述的各种约束描述,并采用了逻辑推理设备来促进链接程序。我们提出了结果,并讨论了从这项项中产生的挑战和陷阱。我们还将我们的规则的方法与使用最先进的英语语义角色贴标程序管道进行了比较,用于主题角色转移任务。

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