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Yarbro, Jeffrey T.; Olney, Andrew M. – Grantee Submission, 2021
This paper explores the concept of dynamically generating definitions using a deep-learning model. We do this by creating a dataset that contains definition entries and contexts associated with each definition. We then fine-tune a GPT-2 based model on the dataset to allow the model to generate contextual definitions. We evaluate our model with…
Descriptors: Definitions, Learning Processes, Models, Context Effect