MITIE: MIT Information Extraction

MITIE: MIT Information Extraction

Designed for advanced information extraction, this software offers tools for named entity recognition and binary relation detection. Built on dlib's high-performance machine-learning framework, it includes pre-trained models for multiple languages. MITIE allows seamless integration across various programming languages, enabling users to create custom extractors tailored to their needs.

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Top MITIE: MIT Information Extraction Features

  • Named Entity Recognition
  • Binary Relation Detection
  • Custom Extractor Training
  • Multi-language Support
  • Pre-trained Models Availability
  • High-performance Machine Learning
  • C++ Core Implementation
  • API Bindings for Multiple Languages
  • Interactive Data Labeling Tool
  • Streaming NER Processing
  • Easy Integration Options
  • Extensive Documentation
  • Community Feedback Integration
  • Open-source and Free Use
  • Precompiled Binary Packages
  • Regression Testing Capability
  • Optimized BLAS Library Support
  • Example Programs for Learning
  • Sample Models Included
  • Boost Software License Compliance.