Maja Bärenfänger, M. Hilbert, Henning Lobin, H. Lüngen
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引用次数: 7
摘要
在由德国研究基金会DFG资助的SemDok(线性组织文本中的通用文档结构)项目中,正在开发用于复杂类型(例如科学文章)的话语解析器。基于修辞结构理论的语篇分析(以下简称DP) (Mann and Taboada, 2005)Marcu, 2000)处理自动分配文本一个树状结构,其中话语段和它们之间的修辞关系被标记,如让步。为了识别可组合的片段,使用了声明性规则,它通过引用输入文本的不同XML注释层和外部知识库(如话语标记词典、词典-语义本体(稍后将与领域本体结合)和修辞关系本体)来描述关于可能组合的语言和结构线索和约束。在我们的文本技术环境中,表示这种本体的形式主义的明显选择是OWL (Smith et al., 2004)。在本文中,我们描述了两个OWL本体,以及如何从话语解析器中查询它们以解决DP中的某些任务。第一个本体论是在该项目中发展起来的修辞关系的分类。第二个是一个OWL版本的GermaNet,这个模型是我们和我们的项目伙伴一起设计的。
OWL ontologies as a resource for discourse parsing
In the project SemDok (Generic document structures in linearly organised texts) funded by the German Research Foundation DFG, a discourse parser for a complex type (scientific articles by example), is being developed. Discourse parsing (henceforth DP) according to the Rhetorical Structure Theory (RST) (Mann and Taboada, 2005; Marcu, 2000) deals with automatically assigning a text a tree structure in which discourse segments and rhetorical relations between them are marked, such as Concession. For identifying the combinable segments, declarative rules are employed, which describe linguistic and structural cues and constraints about possible combinations by referring to different XML annotation layers of the input text, and external knowledge bases such as a discourse marker lexicon, a lexico-semantic ontology (later to be combined with a domain ontology), and an ontology of rhetorical relations. In our text-technological environment, the obvious choice of formalism to represent such ontologies is OWL (Smith et al., 2004). In this paper, we describe two OWL ontologies and how they are consulted from the discourse parser to solve certain tasks within DP. The first ontology is a taxononomy of rhetorical relations which was developed in the project. The second one is an OWL version of GermaNet, the model of which we designed together with our project partners.