Main content

Annotation of Temporal Relations Using Markov Logic Networks and Temporal Centering

Show full item record

Title: Annotation of Temporal Relations Using Markov Logic Networks and Temporal Centering
Author: Fairholm, William
Department: School of Computer Science
Program: Computer Science
Advisor: Song, Fei
Abstract: In recent years, annotating temporal relations has been a focus for many researchers in the area of Temporal Information Processing. By labelling these relations within text, we can identify the event occurrences and determine the order between them as well as other temporal information. Methods such as Markov Logic Networks have achieved good results when applied to this task. In this thesis we propose a combined approach of Markov Logic Networks with suggestions provided by Temporal Centering. We show the bene ts of both the probabilistic nature of Markov Logic Networks and the context based knowledge of Temporal Centering. By combining these two approaches, we allow the Markov Logic Networks to achieve a better understanding of the text, and therefore improve the results of its labelling for temporal relations. Experiments on the TempEval data showed that our approaches are competitive with the state-of-the-art systems submitted to the TempEval Evaluations.
URI: http://hdl.handle.net/10214/8641
Date: 2014-12
Terms of Use: All items in the Atrium are protected by copyright with all rights reserved unless otherwise indicated.


Files in this item

Files Size Format View Description
Fairholm_William_201412_Msc.pdf 679.8Kb PDF View/Open Corrected thesis

This item appears in the following Collection(s)

Show full item record