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Content:

  • Project context, and motivation
    • What is semantic relation extraction?
    • Efficient encoding of semantic relations
    • Simplifying the relation extraction problem
    • Programming a conventional relation extraction system
    • Deep learning as core programming paradigm
    • Mainspring of the project
    • Bringing together applied research and good coding practice
  • Package technical details
    • Supported Python versions
    • Requirements
    • Installation
    • Sub-packages
  • Supported use-cases
    • A first dummy approach
  • How to contribute
    • Contributing to improve code quality
    • Contributing as applied (NLP) researcher
  • Resources
    • Source code
    • Contact and support
  • Credits
    • List of contributors
    • Third-party packages used in relex
  • License
    • The MIT License (MIT)
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  • Project context, and motivation
  • Edit on GitHub

Project context, and motivation

  • What is semantic relation extraction?
  • Efficient encoding of semantic relations
  • Simplifying the relation extraction problem
  • Programming a conventional relation extraction system
  • Deep learning as core programming paradigm
  • Mainspring of the project
  • Bringing together applied research and good coding practice

Package technical details

  • Supported Python versions
  • Requirements
  • Installation
  • Sub-packages
    • relex.data
    • relex.models
    • relex.learners
    • relex.predictors
    • relex.utilities

Supported use-cases

  • A first dummy approach

How to contribute

  • Contributing to improve code quality
  • Contributing as applied (NLP) researcher

Resources

  • Source code
  • Contact and support

Credits

  • List of contributors
  • Third-party packages used in relex

License

  • The MIT License (MIT)
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