Transparency and Building Lexical Dependency Graphs
Transparency and Building Lexical Dependency Graphs
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透明度和构建词法依赖图
DOI：
10.3765/bls.v28i1.3825
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发表时间：
2002
期刊：
影响因子：
--
通讯作者：
Hiroaki Sato
中科院分区：
文献类型：
--
作者：
C. Fillmore;Hiroaki Sato
作者参加了一个名为“FrameNet”的项目，该项目的目的是建立一个当代书面英语的大型计算机词典，并使其能够通过万维网为计算和词典学的兴趣所用。在设计这个资源的过程中，我们必须记住它如何服务于其预期的应用程序。大多数可以想象的NLP应用程序的先决条件是词义消歧（WSD），这是一个自动过程，通过这个过程，一个词在语言环境中可以（概率地）分配其本地意图的含义。本文将介绍FrameNet，并将描述一个设施，其工具和数据的基础上，可以在原则上是针对水务署的努力，并将建议如何技术（工程）和语言的考虑必须呼吁建立它。
The authors are participants in a project, called "FrameNet" which is aimed at building a large computer lexicon of contemporary written English and making it accessible through the World Wide Web for both computational and lexicographic interests. In the process of designing this resource, we have to keep in mind how it can serve its intended applications. A prerequisite to most imaginable NLP applications is word sense disambiguation (WSD), the automatic process by which a word in a linguistic context can be (probabilistically) assigned its locally intended meaning. This paper will introduce FrameNet and will characterize a facility, based on its tools and data, that could in principle be directed to WSD efforts, and will suggest how both technical (engineering) and linguistic considerations must be called on to build it.