Skip to Main Content
In this paper, an algorithm of learning computational verb decision trees (verb trees, for short) from training examples base on impact factors, which are calculated by using computational verb similarities, is presented. Some examples are used to show the creation of verb decision tree and the usefulness of verb decision trees. Examples are used to show that verb decision trees are powerful tools to generalize and extract knowledge from both historical records and Boolean logical records.
Date of Conference: 18-20 July 2010