Temporal Processing of News: Annotation of Temporal Expressions, Verbal Events and Temporal Relations
Georgiana Marsic · Wolverhampton Intellectual Repository and E-Theses (University of Wolverhampton) · 2013
The ability to capture the temporal dimension of a natural language text is essential to many natural language processing applications, such as Question Answering, Automatic Summarisation, and Information Retrieval.Temporal processing is a field of Computational Linguistics which aims to access this dimension and derive a precise temporal representation of a natural language text by extracting time expressions, events and temporal relations, and then representing them according to a chosen knowledge framework.This thesis focuses on the investigation and understanding of the different ways time is expressed in natural language, on the implementation of a temporal processing system in accordance with the results of this investigation, on the evaluation of the system, and on the extensive analysis of the errors and challenges that appear during system development.The ultimate goal of this research is to The completion of my doctoral studies has been the most significant academic challenge I was ever confronted with.It has been a long journey whose course was sometimes deterred by life getting in the way, but to whose successful completion many people have contributed directly or indirectly, and I would like to take this opportunity to thank them.First of all, I would like to thank my supervisory team, Ruslan Mitkov, John Prager and Constantin Orȃsan, for their trust, encouragement, patience and guidance.