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Yeditepe University, Cognitive Science Master's Program is happy to announce its next lecture: An Intelligent Tutor Using Deep Learning Techniques and Humor Theories & Creating a Model That Can Generate Humorous Text

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An Intelligent Tutor Using Deep Learning Techniques

Yusuf Can Semerci
Wednesday February 27th, 16:30
A-442 Engineering Building

With the rapid increase in the demand of web-based education systems, creating an e-tutor that can understand its users and adapt to their needs became crucial. Hence, the intelligent tutorship has become an important work field for user modelling approaches. This thesis proposes an intelligent tutor that is equipped with user modelling, adapting and recommendation capabilities. The model will be constructed with the behavioural and physiological data obtained from users by their interactions with the system. This model will adopt concepts from the flow framework. The Convolutional Neural Networks and Long Short-Term Memory Networks will be used to generate primitives of the collected data. These primitives will be transformed and evaluated into higher level abstractions which are called Experience, Exploration and Attention. The relation between these abstractions will determine which recommendations and adaptive tests should be given to the user. The system will be tested with Architectural History students using an e-learning platform developed to accompany the proposed model.

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Humor Theories & Creating a Model That Can Generate Humorous Text

Gökhan Akgün
Wednesday February 27th, 17:30
A-442 Engineering Building

Artificial Intelligence proved its ability to achieve some cognitive tasks such as learning and problem solving. It’s usage has been expanded to wider areas with the rise of deep learning techniques. Humor is one of the most challenging area, considered as proof of the intelligence by most people. In this presentation, we will examine the underlying theories of the humor, and then, we will discuss what kind of approach should be used to create a good model that can generate humorous text in comparison to other attempts.

Ne Zaman:: 
Wednesday, 27 February, 2019 - 16:30