Abstract
We are exploring what we can learn by reading bible with machines. For the full version of this project please visit https://iliff.github.io/theologiesofthedigital/ and the code repository at https://github.com/iliff/theologiesofthedigital .
Highlights
Dr Michael Hemenway | Theologies of the Digital. This project is a collaborative contribution of the Experimental Humanities Lab @ the Iliff School of Theology and ai.iliff, the AI Institute @ Iliff
Our challenge is to build a machine learning based text generation model that contributes to the community of conversation reflecting on bible passages
In order to build this model, we will leverage some strategies already in development at ai.iliff, the AI Institute at Iliff School of Theology, to produce a conversational AI that can participate in online courses to facilitate better learning outcomes for students
Summary
Our team is building a text generation model that will take a short passage from bible as input and output a narrative commentary on the passage. We begin with the assumption that machines can be significant partners in reading corpora like bible by learning from existing commentary data and introducing novel reflections on a given passage.
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