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Using AI to Study Semantics in Classical Literature: Perspectives from the Field of Computer Science

By Abigail Swenor, University of Notre Dame, Neil Coffee, University at Buffalo, Walter Scheirer, University of Notre Dame

The use of artificial intelligence and machine learning has become increasingly prevalent across a multitude of disciplines, including humanities-based research. The study of semantics in computational linguistics and language has been reorganized by the introduction of tools such as neural networks and computational representations of language. In this paper, we explore the use of AI to study semantics specifically in classical literature and how we see this pedagogical relationship developing as AI continues to evolve.