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A Distributional View of Discourse Encapsulation: Multifactorial Prediction of Coreference Density in RST

机译:话语封装的分布视图:RST中共指代密度的多因素预测

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Early formulations of discourse coherence constraints postulated a connection between coreference likelihood and distance within a discourse parse, e.g. in the framework of Veins Theory (Cristea et al. 1998%CristeaIdeRomaryl998), which proposes that coreference is expected to be encapsulated within tightly linked areas of discourse parses, called Domains of Referential Accessibility (DRAs). Using an RST dependency representation, this paper expands on previous work showing the relevance of DRAs to coreference likelihood. We develop a multifactorial model using both rhetorical and surface distance metrics, as well as confounds such as unit length and genre, and direct versus indirect rhetorical paths. We also explore coreferential accessibility as it applies to less studied types of coreference, including bridging and lexical coreference. The results show that rhetorical and surface distance, as well as direct linking, all influence coreference likelihood, and should not be treated as mutually exclusive or redundant metrics. Finally, we incorporate RST relation-specific tendencies that offer a more fine-grained model of coreference accessibility.
机译:话语连贯性约束的早期表述假设在话语解析中,共指似然度与距离之间存在联系。在静脉理论的框架内(Cristea等人,1998%CristeaIdeRomaryl998),该理论提出,共同指称应该封装在语篇分析的紧密联系的区域内,称为参照可及性域(DRA)。本文使用RST依赖表示法扩展了以前的工作,这些工作显示了DRA与共指似性的相关性。我们使用修辞和表面距离度量,以及诸如单位长度和体裁以及直接和间接修辞路径之类的混杂因素,开发了一个多因素模型。我们还将探讨coreferential可访问性,因为它适用于较少研究的共指类型,包括桥接和词法共指。结果表明,修辞和表面距离以及直接链接都会影响共指似性,因此不应将其视为互斥或冗余的度量。最后,我们结合了特定于RST关系的趋势,这些趋势提供了更精细的共指可访问性模型。

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