ABSTRACT
Text parsing and natural language processing are well-researched and investigated areas of natural language, however, story understanding and natural language understanding are less so. In an attempt to create an efficient and effective way for computers to gain a better understanding of stories, we aim to give an analysis of the current state and effectiveness of ALM as a knowledge representation language. We wish to develop a library of commonsense knowledge on verbs that surpasses the existing libraries in breadth and effectiveness. The library will utilize the modular action language ALM, and draw inspiration from evaluations on COREALMLib and VERBNET. In addition, the tool available for analysis of ALM, TEXT2ALM, will be reviewed on its usefulness, modularity, and accuracy of execution.
ABSTRACT
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Abstract
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Chapter One: Introduction
1.1 Background of the Study
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