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Markup: A Web-Based Annotation Tool Powered by Active Learning.

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  • 1Health Data Research UK, Swansea University Medical School, Swansea University, Swansea, United Kingdom.

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|October 29, 2021
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Summary
This summary is machine-generated.

Markup is an open-source tool that simplifies unstructured text annotation for various fields. It uses Natural Language Processing (NLP) and Active Learning (AL) to accelerate data structuring for research and applications.

Keywords:
active learningannotationnatural language processingsequence-to-sequence learningunstructured text

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Area of Science:

  • Natural Language Processing (NLP)
  • Bioinformatics
  • Data Science

Background:

  • Increasing volumes of unstructured text data exist across health, law, news, and social media.
  • Extracting valuable information from free-text requires significant manual effort from domain experts.
  • Annotation tools are crucial for converting unstructured text into structured data for NLP pipelines.

Purpose of the Study:

  • To introduce Markup, an open-source, web-based annotation tool.
  • To demonstrate Markup's capability in facilitating rapid and accurate text annotation.
  • To showcase its application in a healthcare setting for NLP development.

Main Methods:

  • Development of Markup, an open-source, web-based annotation tool.
  • Integration of Natural Language Processing (NLP) and Active Learning (AL) technologies.
  • Implementation of custom user configurations, predictive suggestions, and ontology mapping.

Main Results:

  • Markup enables rapid and accurate annotation of unstructured texts.
  • The tool supports custom configurations and predictive annotation suggestions.
  • Automated mapping to domain-specific (e.g., UMLS) and custom ontologies is facilitated.

Conclusions:

  • Markup effectively transforms unstructured text into structured annotations for NLP applications.
  • The tool was successfully applied in a healthcare setting to annotate clinic letters.
  • Markup aids in building and testing NLP applications by streamlining data annotation.