https://github.com/samueldobbie/markup

A web-based document annotation tool, powered by GPT-4 :rocket:
https://github.com/samueldobbie/markup

active-learning annotation-tool data-labeling data-science gpt-4 machine-learning named-entity-recognition natural-language-processing ner nlp sequence-to-sequence text-annotation text-annotation-tool

Last synced: about 2 months ago
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A web-based document annotation tool, powered by GPT-4 :rocket:

• Host: GitHub
• URL: https://github.com/samueldobbie/markup
• Owner: samueldobbie
• License: mit
• Created: 2019-02-21T18:39:57.000Z (almost 6 years ago)
• Default Branch: main
• Last Pushed: 2024-01-10T08:22:08.000Z (12 months ago)
• Last Synced: 2024-08-01T00:46:25.079Z (5 months ago)
• Topics: active-learning, annotation-tool, data-labeling, data-science, gpt-4, machine-learning, named-entity-recognition, natural-language-processing, ner, nlp, sequence-to-sequence, text-annotation, text-annotation-tool
• Language: TypeScript
• Homepage: https://getmarkup.com
• Size: 79.7 MB
• Stars: 238
• Watchers: 13
• Forks: 33
• Open Issues: 13
• Metadata Files:
  • Readme: README.md

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• StarryDivineSky - samueldobbie/markup - 3  提供支持 (A01_文本生成_文本对话 / 其他_文本生成_文本对话)

README

        
# Markup Annotation Tool for ML and NLP

![](https://markup-storage.s3.eu-west-2.amazonaws.com/annotate-dark-v2.png)

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.

# Key Features

- **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.

# Installation

To install and run Markup locally:

1. Clone the repository and install dependencies, `git clone https://github.com/samueldobbie/markup && cd markup && yarn install`

1. Install the [Supabase CLI](https://supabase.com/docs/guides/cli)

1. Start Supabase, `supabase start`. This will generate and output an API URL and anon key. Add both to the `.env.local` file

1. Add an [OpenAI API key](https://platform.openai.com/account/api-keys) to the `.env.local` file (Optional)

1. Run the development server, `yarn start`

1. Open Markup in your web browser, `http://localhost:3000`

# Usage

To get started with Markup, read the [quick start guide](https://getmarkup.com/docs).

# Contributions

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

1. Fork the repository

1. Create a new branch for your feature

1. Make your changes

1. Submit a pull request for review

# Support

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