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Theses and Dissertations
This collection contains theses and dissertations of graduate students of the University of Alberta. The collection contains a very large number of theses electronically available that were granted from 1947 to 2009, 90% of theses granted from 2009-2014, and 100% of theses granted from April 2014 to the present (as long as the theses are not under temporary embargo by agreement with the Faculty of Graduate and Postdoctoral Studies). IMPORTANT NOTE: To conduct a comprehensive search of all UofA theses granted and in University of Alberta Libraries collections, search the library catalogue at www.library.ualberta.ca - you may search by Author, Title, Keyword, or search by Department.
To retrieve all theses and dissertations associated with a specific department from the library catalogue, choose 'Advanced' and keyword search "university of alberta dept of english" OR "university of alberta department of english" (for example). Past graduates who wish to have their thesis or dissertation added to this collection can contact us at erahelp@ualberta.ca.
Items in this Collection
- 24Rafiei, Davood (Computing Science)
- 2Nascimento, Mario (Computing Science)
- 2Sander, Joerg (Computing Science)
- 1Lin, Dekang (Computing Science)
- 1Mou, Lili (Computing Science)
- 1Nascimento, Mario A.
- 1Babamahmoudi, Amir
- 1Chubak, Pirooz
- 1Esteki, Afsaneh
- 1Hasnat, Md Arif
- 1Kamalloo, Ehsan
- 1Kassenov, Zharkyn
- 3Databases
- 2Geotagging
- 2Information Retrieval
- 2Natural Language Processing
- 2Question Answering
- 1Active Learning
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Fall 2017
Many applications that use geographical databases (a.k.a. gazetteers) rely on the accuracy of the information in the database. However, poor data quality is an issue in gazetteers; often data is integrated from multiple sources with different quality constraints and there may not be much detail...
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Fall 2020
The Web contains an enormous amount of structured data in the form of web tables, and there is a great value in retrieving this data and harnessing it for decision making and gain more insights. Finding the right data on the Web and integrating it with the existing data within an organization can...
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Fall 2023
We study the problem of Table Union Search (TUS) in the presence of preferences. Two tables are unionable if their column values are drawn from the same domains. This notion of unionability is too coarse to be effective in down-stream tasks. The result of a table search for unionability is often...
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Fall 2022
Sentence reconstruction and generation are essential applications in Natural Language Processing (NLP). Early studies were based on classic methods such as production rules and statistical models. Recently, the prevailing models typically use deep neural networks. In this study, we utilize deep...