Experimental work conducted by the Tesserae team using machine learning to improve allusion detection has been incorporated into the DH 101 course taught by Frederic Kaplan of the Digital Humanities Laboratory of the University of Lausanne. The Tesserae DH 2013 abstract, “Modeling the Interpretation of Literary Allusion with Machine Learning Techniques,” was discussed on the course blog as one of several approaches using machine learning to develop new humanities perspectives.
