Leveraging the Power of OpenAI and Schematron for Content Verification and Correction

Octavian Nadolu

Oxygen XML Editor


The purpose of this presentation is to provide an overview of what AI is, the potential benefits of using AI with Schematron and SQF for content verification and correction, and some of the challenges we face when using AI for this purpose.

AI (Artificial Intelligence) is a branch of computer science that studies and develops theories, methods, and technologies to allow machines to perceive, understand, and act in the world. AI is used to create algorithms that can learn, understand, and make decisions in complex environments. AI is used in many areas, including natural language processing, robotics, computer vision, data mining, and machine learning.

OpenAI is a research laboratory dedicated to developing and deploying AI in order to solve complex problems. OpenAI has developed algorithms that use reinforcement learning and deep learning to solve problems in robotics, natural language processing, and computer vision.

Schematron can be used to identify elements of a document and make assumptions about them, providing a powerful boost when used in conjunction with OpenAI algorithms. Using OpenAI algorithms with Schematron and SQF (Schematron Quick Fix) can help to automate the verification of the correctness, completeness, and accuracy of content. OpenAI algorithms can be used to automatically check and correct errors in content and markup. This can save time and money for content creators and publishers, as well as improving the accuracy of the content.

However, there are challenges associated with using OpenAI for content verification and correction. OpenAI algorithms may not accurately identify errors in content, and may not be able to make corrections that are appropriate for the context. Additionally, OpenAI algorithms may not be able to detect errors that are due to cultural or regional differences in language.

In conclusion, OpenAI can be a powerful tool for verifying and correcting content, but there are challenges associated with using OpenAI for this purpose. It is important to consider these challenges when using OpenAI for content verification and correction.

Table of Contents

Artificial Intelligence
Generative Pre-trained Transformer(GPT)
Schematron and AI
Schematron Quick Fix and AI
Implementation of AI in Schematron
Examples of AI-driven Schematron and SQF Solutions
Check text consistency
Check text voice
Answer to question
Check the number of words
Check if block of text should be a list
User-Entry - Check technical terms
Generate Fix Automatically
Develop Schematron using AI