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Skip to Search Results- 38Artificial intelligence
- 13NLP
- 9Machine learning
- 4Natural language processing
- 3Computational linguistics
- 3Natural Language Processing
- 3Noonari, Juned (Supervisor)
- 2Barker, Thomas (Supervisor)
- 2UNESCO Information For All Programme (IFAP)
- 1Ali Shiri
- 1Allen, Timothy Karl van.
- 1Amaral, J.N.
- 35Graduate and Postdoctoral Studies (GPS), Faculty of
- 35Graduate and Postdoctoral Studies (GPS), Faculty of/Theses and Dissertations
- 4Master of Science in Internetworking (MINT)
- 4Master of Science in Internetworking (MINT)/Capstone Projects & Reports (Master of Science in Internetworking (MINT))
- 3Communications and Technology Graduate Program
- 3Communications and Technology Graduate Program/Capping Projects (Communications and Technology)
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Spring 2011
Grapheme-to-phoneme conversion (G2P) is the task of converting a word, represented by a sequence of graphemes, to its pronunciation, represented by a sequence of phonemes. The G2P task plays a crucial role in speech synthesis systems, and is an important part of other applications, including...
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Fall 2016
Real-time strategy (RTS) video games are known for being one of the most complex and strategic games for humans to play. With a unique combination of strategic thinking and dexterous mouse movements, RTS games make for a very intense and exciting game-play experience. In recent years the games AI...
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2022-01-24
Tiruneh, Getaneh Gezahegne, Fayek, Aminah Robinson
The majority of competency and performance modeling methods available in the literature are deterministic conceptual, statistical,and/or regression models that cannot capture the subjective uncertainty, complex, and nonlinear relationships inherent in construction, whichmakes accurate prediction...
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2022-04-03
Abstract: In recent years, the number of IoT devices has increased exponentially, evolving in virtually every domain, making businesses smarter and more efficient. This project will oversee various applications and use cases of IoT in enterprises and its evolution by aspects of Artificial...
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Item Difficulty and Response Time Prediction with Large Language Models: An Empirical Analysis of USMLE Items
Download2024-06-20
Bulut, O., Gorgun, G., Tan, B.
This paper summarizes our methodology and results for the BEA 2024 Shared Task. This competition focused on predicting item difficulty and response time for retired multiple-choice items from the United States Medical Licensing Examination® (USMLE®). We extracted linguistic features from the item...
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Fall 2010
Natural Language Processing (NLP) develops computational approaches to processing language data. Supervised machine learning has become the dominant methodology of modern NLP. The performance of a supervised NLP system crucially depends on the amount of data available for training. In the...
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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...