Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ ZENODOarrow_drop_down
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Conference object . null
Data sources: ZENODO
addClaim

This Research product is the result of merged Research products in OpenAIRE.

You have already added 0 works in your ORCID record related to the merged Research product.

Can we make an AI respect TEI XML? An experiment with a small-scale "explainable" AI

Authors: Bills, Hadleigh Jae; Fisher, Alexander Charles;

Can we make an AI respect TEI XML? An experiment with a small-scale "explainable" AI

Abstract

WMy students and I are developing a project to see whether we can refine and customize a "DigitAI" (named for our "Digit" program at Penn State Behrend).e want our DigitAI to serve as a guide to TEI XML, and we are preparing a RAG knowledge graph for it built from the p5.xml single source of "ground truth" of the TEI Guidelines. The challenge of our project is to introduce the meaningful hierarchy of XML and TEI to an AI language model trained on sequenced tokens and word vector embeddings. If successful, the DigitAI will be minimal in size and adaptable by others, but most importantly, we hope to learn from the experiment.

Powered by OpenAIRE graph
Found an issue? Give us feedback