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…

Over the past decades, network technologies across supply chains have been introduced and promoted with the premised benefits for all participants. However industry experience with an adoption process of some technology suggests that some firms have a great amount of uncertainty in estimating the benefits of its adoption. This uncertainty will…