Open Access. Powered by Scholars. Published by Universities.®

Digital Commons Network

Open Access. Powered by Scholars. Published by Universities.®

Engineering

PDF

LSU Doctoral Dissertations

Theses/Dissertations

2013

Machine learning

Articles 1 - 2 of 2

Full-Text Articles in Entire DC Network

Resolving Pronominal Anaphora Using Commonsense Knowledge, Seyedeh Leili Javadpour Jan 2013

Resolving Pronominal Anaphora Using Commonsense Knowledge, Seyedeh Leili Javadpour

LSU Doctoral Dissertations

Coreference resolution is the task of resolving all expressions in a text that refer to the same entity. Such expressions are often used in writing and speech as shortcuts to avoid repetition. The most frequent form of coreference is the anaphor. To resolve anaphora not only grammatical and syntactical strategies are required, but also semantic approaches should be taken into consideration. This dissertation presents a framework for automatically resolving pronominal anaphora by integrating recent findings from the field of linguistics with new semantic features. Commonsense knowledge is the routine knowledge people have of the everyday world. Because such knowledge is …


Digital Image-Based Frameworks For Monitoring And Controlling Of Particulate Systems, Bing Zhang Jan 2013

Digital Image-Based Frameworks For Monitoring And Controlling Of Particulate Systems, Bing Zhang

LSU Doctoral Dissertations

Particulate processes have been widely involved in various industries and most products in the chemical industry today are manufactured as particulates. Previous research and practise illustrate that the final product quality can be influenced by particle properties such as size and shape which are related to operating conditions. Online characterization of these particles is an important step for maintaining desired product quality in particulate processes. Image-based characterization method for the purpose of monitoring and control particulate processes is very promising and attractive. The development of a digital image-based framework, in the context of this research, can be envisioned in two …