Structured IMRAD Academic Document Summarizer
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Updated
Nov 18, 2024 - HTML
Structured IMRAD Academic Document Summarizer
This project is designed to extract text from documents and prepare it for processing by Large Language Models (LLM). Implemented a feature to store and utilize text style information, enabling the program to identify and segment content based on potential headers and titles.
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Add a description, image, and links to the llms topic page so that developers can more easily learn about it.
To associate your repository with the llms topic, visit your repo's landing page and select "manage topics."