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A Neural Network approach to Automated Essay Scoring: A Comparison with the Method of Integrating Deep Language Features using Coh-Metrix
DownloadFall 2018
Automated essay scoring (AES) has emerged as a secondary or as a sole marker for many high-stakes educational assessments due to remarkable advances in feature engineering using natural language processing, machine learning, and deep learning algorithms. The purpose of the study was to compare...
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Spring 2021
With the booming development of the Internet, the amount of data stored in databases are enormously growing. Databases retrieve relevant information in response to users’ queries; the retrieved information is encoded in dynamically generated by databases in the form of structured data records. As...
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Fall 2023
The ability to adaptively respond to changing environments is a fundamental aspect of intelligent behaviour. From catching a ball in motion to changing one’s mind in the face of new information, adaptation requires several key cognitive mechanisms, such as the flexible integration of sensorimotor...
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2023
The difficult and multidisciplinary process of automatically creating accurate and logical textual descriptions for photographs is known as automatic image captioning. Modern Neural Networks excel in tasks like Computer Vision and Natural Language Processing, but their memory and compute appetite...
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Spring 2017
Most machine learning problems can be posed as solving a mathematical program that describes the structure of the prediction problem, usually expressed in terms of carefully chosen losses and regularizers. However, many machine learning problems yield mathematical programs that are not convex in...
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2021-04-16
Call Centers or Support Centers in different companies aggregate huge amount of audio data everyday. From all the conversations, few conversations demonstrate the disappointment of clients towards services, products or delivery. Finding the sentiment of the customer helps in determining whether...
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Fall 2022
Imperfect information games model many large-scale real-world problems. Hex is the classic two-player zero-sum no-draw connection game where each player wants to join their two sides. Dark Hex is an imperfect information version of Hex in which each player sees only their own moves. Finding Nash...
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Fall 2023
In this thesis, we investigate applying deep learning techniques to learn the win-loss-draw results contained in the databases of the checkers-playing program CHINOOK. Our initial objectives were to (1) compare a deep-learning-based compression scheme versus the custom algorithm used in CHINOOK,...
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Fall 2021
The appearance of an image projected by a projector onto an arbitrary surface has the potential to appear differently depending on several factors, e.g., the properties of the surface being projected on, the colors of the light projected by the projector and the colors and the optical properties...