Modelling the Interpretation of Literary Allusion with Machine Learning Techniques. - Neil Coffee; James O. Gawley; Christopher W. Forstall; Walter J. Scheirer; David M. Johnson 001; Jason J. Corso; Brian C. Parks (DH, 2013)

The Tesserae Project: intertextual analysis of Latin poetry. - Neil Coffee; Jean-Pierre Koenig; Shakthi Poornima; Christopher W. Forstall; Roelant Ossewaarde; Sarah L. Jacobson (Lit. Linguistic Comput., 2013)

Modeling the scholars: Detecting intertextuality through enhanced word-level n-gram matching. - Christopher W. Forstall; Neil Coffee; Thomas Buck; Katherine Roache; Sarah L. Jacobson (Digit. Scholarsh. Humanit., 2015)

Digital Methods and Classical Studies. - Neil Coffee; Neil W. Bernstein (Digit. Humanit. Q., 2016)

The sense of a connection: Automatic tracing of intertextuality by meaning. - Walter J. Scheirer; Christopher W. Forstall; Neil Coffee (Digit. Scholarsh. Humanit., 2016)

Integrating Intertextual Search into Your Web Application: The Tesserae Intertext Service API. - Nozomu Okuda; Jeffery Kinnison; Neil Coffee; Walter J. Scheirer (DH, 2020)

Tesserae Intertext Service. - Nozomu Okuda; Jeffery Kinnison; Patrick J. Burns; Neil Coffee; Walter J. Scheirer (Digit. Humanit. Q., 2022)

Story Grammar Semantic Matching for Literary Study. - Abigail Swenor; Neil Coffee; Walter J. Scheirer (CoRR, 2025)