引导深层词汇资源：课程资源
Bootstrapping Deep Lexical Resources: Resources for Courses
摘要：
我们提出了一系列的深层词汇获取方法，利用形态，句法和本体的语言资源，从种子词典建模单词相似性和引导。不同的方法部署在学习词汇项目的精确语法，并显示每个有不同的词类的优势和劣势。本文的一个特别的重点是不同的语言资源类型的相对可及性，并预测“bang for the buck”与每一个在深层词汇习得应用程序。
英文摘要：
We propose a range of deep lexical acquisition methods which make use of morphological, syntactic and ontological language resources to model word similarity and bootstrap from a seed lexicon. The different methods are deployed in learning lexical items for a precision grammar, and shown to each have strengths and weaknesses over different word classes. A particular focus of this paper is the relative accessibility of different language resource types, and predicted ``bang for the buck'' associated with each in deep lexical acquisition applications.
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。
