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arXiv 1610.02544cs.CL
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计算链接理论

Computational linking theory

Johns Hopkins University(约翰斯·霍普金斯大学)

Aaron Steven White, Drew Reisinger, Rachel Rudinger, Kyle Rawlins, Benjamin Van Durme

摘要:

链接理论解释了动词的语义论元如何映射到它们的句法论元-这是浅层语义解析文献中语义角色标注任务的逆过程。在本文中,我们开发了计算链接理论框架作为一种方法,用于实现和测试理论文献中提出的链接理论。我们部署这个框架来评估两个交叉类型的连接理论:局部与全局模型和分类与特征模型。为了进一步研究这些模型的行为,我们开发了一个测量模型的精神,以前的工作在语义角色归纳:语义原型角色链接模型。我们使用这个模型,它实现了道蒂的开创性的原型角色理论的概括,诱导语义原型角色,我们比较那些道蒂建议。

英文摘要:

A linking theory explains how verbs' semantic arguments are mapped to their syntactic arguments---the inverse of the Semantic Role Labeling task from the shallow semantic parsing literature. In this paper, we develop the Computational Linking Theory framework as a method for implementing and testing linking theories proposed in the theoretical literature. We deploy this framework to assess two cross-cutting types of linking theory: local v. global models and categorical v. featural models. To further investigate the behavior of these models, we develop a measurement model in the spirit of previous work in semantic role induction: the Semantic Proto-Role Linking Model. We use this model, which implements a generalization of Dowty's seminal Proto-Role Theory, to induce semantic proto-roles, which we compare to those Dowty proposes.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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