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Markup: Document Annotation
Markup is an open-source annotation tool that can be used to transform unstructured documents into structured formats for NLP and ML tasks, such as named-entity recognition. Markup learns as you annotate to predict and suggest complex annotations.
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Markup is an annotation tool powered by GPT-4. Its main function is to rapidly build structured datasets from free-text. The core objective of this tool is to turn text into structured data without the hassle. Key features include: 1. Rapid dataset construction: Specifically designed for Natural Language Processing (NLP) and Machine Learning (ML) fields, it efficiently processes free-text and converts it into structured formats; 2. Powered by GPT-4: Utilizes the advanced GPT-4 large language model to empower the tool, enhancing the automation level and accuracy of annotation and structuring; 3. Hassle-free experience: Dedicated to providing a seamless conversion experience, simplifying the traditional data annotation process. Target users are NLP researchers, machine learning engineers, and developers who need to annotate data and build datasets. Usage flow includes signing up for an account, trying the demo, or getting started directly. The page provides 'Try demo' and 'Get started' entry points. Specific pricing models and price information are not explicitly mentioned on the page.
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