In this thesis, we study the importance of background knowledge in relation extraction systems. We not only demonstrate the benefits of leveraging background knowledge to improve the systems' performance but also propose a principled framework that allows one to effectively incorporate knowledge into statistical machine learning models for…

Some salient concepts derived from the information sciences and currently used in theories of human memory are critically reviewed. The application of automata theory is proposed as a new approach in this field. The approach is illustrated by applying it to verbal memory. (Author)

This paper provides a conceptual framework for addressing the issue of effectiveness and efficiency in education. It considers alternative criteria for identifying efficiency and discusses constraints on improving efficiency. The first section distinguishes efficiency from effectiveness, and also distinguishes "internal" from "external" efficiency…