Markup is an online 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, and also provides integrated access to common and custom ontologies for concept mapping.

• Predictive annotation - Markup's machine learning-powered predictive annotation feature suggests complex annotations as you work, making the process of annotating documents more efficient and saving you valuable time.

• Integrated ontology access Markup provides integrated access to a wide range of common ontologies (e.g. UMLS, SNOMED-CT, ICD-10), as well as the ability to upload custom ontologies, for concept mapping.

• Predictive ontology mapping - Markup's predictive ontology mapping feature uses machine learning to suggest appropriate mappings to standard and custom terminologies based on the text you're annotating.

• User-friendly interface - Whether you're a technical expert or a beginner, Markup's user-friendly interface makes it easy for anyone to start annotating documents with minimal setup.

To install and use Markup on your own machine:

1. Clone the repository, git clone https://github.com/samueldobbie/markup
2. Navigate to the directory, cd markup
3. Install dependencies, yarn install
4. Start the development server, yarn start
5. Open Markup in your web browser, http://localhost:3000

To get started with Markup, read the quick start guide.

Contributions to Markup are appreciated. If you'd like to contribute, please follow these guidelines:

1. Fork the repository
2. Create a new branch for your feature
3. Make your changes
4. Submit a pull request for review

If you have any questions or need assistance with Markup, you can contact me at [email protected].