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Spring 2024
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,...
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Probing the Robustness of Pre-trained Language Models for Structured and Unstructured Entity Matching
DownloadSpring 2023
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...
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Spring 2023
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...