The MITRE Annotation Toolkit (MAT) is a suite of tools which can be used for automated and human tagging of annotations.

Annotation is a process, used mostly by researchers in natural language processing, of enhancing documents with information about the various phrase types the documents contain.

MAT supports both UI interaction and command-line interaction, and provides various levels of control over the overall annotation process. It can be customized for specific tasks (e.g., named entity identification, de-identification of medical records). The goal of MAT is not to help you configure your training engine (in the default case, the Carafe CRF system) to achieve the best possible performance on your data. MAT is for "everything else": all the tools you end up wishing you had.

Project Activity

See All Activity >

License

BSD License

Follow MITRE Annotation Toolkit

MITRE Annotation Toolkit Web Site

Other Useful Business Software
Build Securely on Azure with Proven Frameworks Icon
Build Securely on Azure with Proven Frameworks

Lay a foundation for success with Tested Reference Architectures developed by Fortinet’s experts. Learn more in this white paper.

Moving to the cloud brings new challenges. How can you manage a larger attack surface while ensuring great network performance? Turn to Fortinet’s Tested Reference Architectures, blueprints for designing and securing cloud environments built by cybersecurity experts. Learn more and explore use cases in this white paper.
Download Now
Rate This Project
Login To Rate This Project

User Reviews

Be the first to post a review of MITRE Annotation Toolkit!

Additional Project Details

Intended Audience

Science/Research

User Interface

Web-based

Programming Language

JavaScript, Python

Related Categories

Python Linguistics Software, Python Natural Language Processing (NLP) Tool, JavaScript Linguistics Software, JavaScript Natural Language Processing (NLP) Tool

Registered

2013-05-29