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Permanent link (DOI): https://doi.org/10.7939/R3HM60

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Automated Story-based Commentary for Sports Open Access

Descriptions

Other title
Subject/Keyword
Automated Storytelling
Machine Learning
Information Retrieval
Artificial Intelligence
Type of item
Thesis
Degree grantor
University of Alberta
Author or creator
Lee, Gregory M. K.
Supervisor and department
Bulitko, Vadim (Computing Science)
Examining committee member and department
Young, R. Michael (Computer Science - North Carolina State University)
Linsky, Bernard (Philosophy)
Zaiane, Osmar (Computing Science)
Greiner, Russ (Computing Science)
Ludvig, Elliot (Neuroscience of Cognitive Control Laboratory - Princeton University)
Department
Department of Computing Science
Specialization

Date accepted
2012-08-23T15:37:43Z
Graduation date
2012-11
Degree
Doctor of Philosophy
Degree level
Doctoral
Abstract
Automated sports commentary is a form of automated narrative and human-computer interaction. Sports commentary exists to keep the viewer informed and entertained. One way to entertain the viewer is by telling brief stories relevant to the game in progress. We introduce a system called the Sports Commentary Recommendation System (SCoReS) that can automatically suggest stories for commentators to tell during games. Through several user studies, we compared commentary using SCoReS to three other types of commentary and showed that SCoReS adds significantly to the broadcast across several enjoyment metrics. We also collected interview data from professional sports commentators who positively evaluated a demonstration of the system. We conclude that SCoReS can be a useful broadcast tool, effective at selecting stories that add to the enjoyment and watchability of sports. SCoReS is a step toward automating sports commentary, and thus automating narrative.
Language
English
DOI
doi:10.7939/R3HM60
Rights
Permission is hereby granted to the University of Alberta Libraries to reproduce single copies of this thesis and to lend or sell such copies for private, scholarly or scientific research purposes only. Where the thesis is converted to, or otherwise made available in digital form, the University of Alberta will advise potential users of the thesis of these terms. The author reserves all other publication and other rights in association with the copyright in the thesis and, except as herein before provided, neither the thesis nor any substantial portion thereof may be printed or otherwise reproduced in any material form whatsoever without the author's prior written permission.
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