LIRICS与动词网语义角色的层次统一

Claire Bonial, William J. Corvey, Martha Palmer, V. Petukhova, H. Bunt
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引用次数: 68

摘要

本研究比较了动词网(VN)与可互操作资源和系统语言基础结构(LIRICS)的几个主题角色。这种比较的目的是开发一组适用于各种自然语言处理(NLP)应用程序的标准主题角色。我们利用这两种资源来构建一套统一的语义角色,以取代现有的VN语义角色。通过比较,我们发现粗粒度、中间和细粒度角色的分层组织有助于不同粒度的语义资源之间的映射,并允许如何灵活地将VN用于不同的NLP应用,因此,我们提出了统一角色集的分层分类法。层次结构的比较和随后的开发揭示了两个资源共享的粒度级别,可以进一步将其开发为国际标准化组织(ISO)的主题角色标准集。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Hierarchical Unification of LIRICS and VerbNet Semantic Roles
This research compares several of the thematic roles of Verb Net (VN) to those of the Linguistic Infrastructure for Interoperable Resources and Systems (LIRICS). The purpose of this comparison is to develop a standard set of thematic roles that would be suited to a variety of natural language processing (NLP) applications. We draw from both resources to construct a unified set of semantic roles that will replace existing VN semantic roles. Through the process of comparison, we find that a hierarchical organization of coarse-grained, intermediate and fine-grained roles facilitates mapping between semantic resources of differing granularity and allows for flexibility in how VN can be used for diverse NLP applications, thus, we propose a hierarchical taxonomy of the unified role set. The comparison and subsequent development of the hierarchy reveals a level of granularity shared by both resources, which could be further developed into a standard set of thematic roles for the International Organization for Standardization (ISO).
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