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Fall 2024

Ameli, Nazila

The published and unpublished data in this thesis address a crucial gap in the utilization of comprehensive automated methods for diagnosing periodontitis. This research focuses on the development of a clinical decision support system (CDSS) for analyzing text and image data to diagnose...

Spring 2024

Shahriar, Arif

Bengali and Hind are two widely spoken yet low-resource languages. The state-of-the-art in modeling such languages uses BERT and the Wordpiece tokenizer. We observed that the Wordpiece tokenizer often breaks words into meaningless tokens, failing to separate roots from affixes. Moreover,...

Fall 2024

Gorgun, Guher

The purpose of this dissertation is to employ three prominent atural language processing methods to assess the feasibility of automatically evaluating cloze questions generated by automatic item generation (AIG) methods. AIG methods have been developed to address the need for a large number of...

Spring 2023

Akbarian Rastaghi, Mehdi

The paradigm of fine-tuning Pre-trained Language Models (PLMs) has been successful in Entity Matching (EM). Many contemporary works leverage PLM-based models to push the state of the results. However, using the power of transformer-based models has some downsides in this task. Despite their...

Spring 2023

Farruque, Nawshad

Traditional survey based methods for clinical depression detection are not always effective; the patient may not reflect their actual mental health condition because of the cognitive bias exhibited while filling out questionnaires about depression. Established through ample earlier work, social...

Spring 2023

Firoozi, Tahereh

The automated scoring of student essays is now recognized as a significant development in both the research and practice of educational testing. The majority of the published studies on automated essay scoring (AES) focus on outcomes in English. Studies on multilingual AES—meaning languages other...