Automated Learning Applied to Functional Argument Identification
Vasile Rus · Journal of Computing and Information Technology · 2004
This paper reports experiments on applying machine learning to identifying functional arguments of verbs such as logical subject. In particular, it is shown that using decision trees for functional arguments identification is beneficial. The paper also argues that linguistically-motivated features gathered from a large corpus can capture functional information.