Defence of the Doctoral Dissertation: Machine Learning of Semantics for Text Understanding

Text Understanding is a long term goal of Artificial Intelligence. Its mission is to create algorithms that will fully automatically understand human-composed text. In this dissertation we propose, implement and evaluate machine learning approaches and meaning representations to make progress towards Text Understanding. Meaning representations are used to encode the information contained in a sentence. Furthermore, they can be used in applications that require detailed understanding of the sentence.