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- 10Machine Learning
- 5Artificial Intelligence
- 3NLP
- 3Reinforcement Learning
- 2Computer Vision
- 1Alexander, Graham
- 1Armoush, Nour.
- 1Bulut, Okan.
- 1Campbell, Hazel V
- 1Costello, Jeremy
- 1Dhankar, Abhishek
- 27Graduate and Postdoctoral Studies (GPS), Faculty of
- 27Graduate and Postdoctoral Studies (GPS), Faculty of/Theses and Dissertations
- 1Philosophy, Department of
- 1Philosophy, Department of/Journal Articles (Philosophy)
- 1Education, Faculty of
- 1Education, Faculty of/Graduate Research Showcase (Education)
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2024-04-20
Armoush, Nour., Gorgun, Guher., Wongvorachan, Tarid, Gierl, Mark., Bulut, Okan.
Computer-based testing (CBT) has been growing more popular alongside the advancement of educational technology. As the demand for CBT rises, it is vital that large item banks are also being created. The traditional method of producing items is expensive, time consuming, and lacks scalability....
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Fall 2023
This thesis introduces a new approach for grounding concepts to vision using visual descriptions, which are text-based descriptions of visual attributes. We hypothesize that these descriptions can enhance the grounding of concepts to vision, thereby improving performance in vision-language tasks....
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Fall 2023
Explainable artificial intelligence models are becoming increasingly important as restrictions grow for corporate use of blackbox models whose predictions affect people’s lives and yet cannot be interpreted. Black boxes do not convey trust to end-users and are difficult to train and debug for...
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Spring 2023
This thesis describes the design of a system that is capable of the generation of a Knowledge Graph (KG), referred to as Knowledge Graph Population (KGP), from conversations, specifically with elderly people. While this system still follows a traditional KGP approach with Entity Recognition (ER),...
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Spring 2024
We introduce the background of the natural language processing field, outlining the benefits and drawbacks of rule-based versus statistical methods. We present knowledge graphs as a way to integrate the explainability of rule-based methods and the power of statistical methods, large language...
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Spring 2023
The gaming industry has experienced a sharp growth in recent years, surpassing other popular entertainment segments, such as the film industry. With the ever-increasing scale of the gaming industry and the fact that players are extremely difficult to satisfy, it has become extremely challenging...
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Fall 2020
Word sense disambiguation (WSD) is one of the core tasks in natural language processing and its objective is to identify the sense of a content word (nouns, verbs, adjectives, and adverbs) in context, given a predefined sense inventory. Although WSD is a monolingual task, it has been conjectured...
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Fall 2017
Inflectional morphology presents numerous problems for traditional computational models, not least of which is an increase in the number of rare types in any corpus. Although few annotated corpora exist for morphologically complex languages, it is possible for lay-speakers of the language to...
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Spring 2016
Morphologically complex languages such as Arabic pose several challenges in Natural Language Processing (NLP) due to their complexity and token sparsity. Most techniques approach the problem by transforming the words of the language from their sparse surface form representation to a less sparse...
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Spring 2021
It has gotten increasingly harder for laypersons to determine the veracity of online health information. This is because of the explosion of content in health social media, allowing anyone with an Internet connection to create and propagate health-related content. This includes both innocuous and...