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…

Examines two primary roles played by natural language processing in storage and retrieval of information and outlines organization of natural language interface for data retrieval (question-answering system) and approaches being taken to text analysis. Research issues in computational linguistics and interactive knowledge acquisition are…

The IADIS CELDA 2012 Conference intention was to address the main issues concerned with evolving learning processes and supporting pedagogies and applications in the digital age. There had been advances in both cognitive psychology and computing that have affected the educational arena. The convergence of these two disciplines is increasing at a…