📚Chapter2: Understanding natural language

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  Table of Content

  2.1 Understanding natural language | Video | Notes |

  • 2.1.1 Excercise: Intent classification with regex I  | Notes | Code |
  • 2.1.2 Excercise: Intent classification with regex II | Notes | Code |
  • 2.1.3 Excercise: Entity extraction with regex | Notes | Code |

  3.1 Word vectors | Video | Notes |

  • 3.1.1 Excercise: Word Vectors with Spacy | Notes | Code |

  4.1 Intents and classification | Video | Notes |

  • 4.1.1 Excercise: Intent classification with sklearn | Notes | Code |

  5.1 Entity Extraction | Video | Notes |

  • 5.1.1 Excercise: Using spaCy's entity recognizer | Notes | Code |

  • 5.1.2 Excercise: Assigning roles using spaCy's parser | Notes | Code |

  5.2- Robust language understanding with rasa NLU | Video | Note |

  • 5.2.1 Excercise: Rasa NLU | Notes | Code |

  • 5.2.2 Excercise: Data-efficient entity recognition | Notes | Code |

• Notes

  • Understanding Intents and Entities Page
  • Intent classification with regex I Page
  • Intent classification with regex II Page
  • Entity extraction with regex Page
  • Word vectors Page
  • Intents and classification Page
  • Excercise: Intent classification with sklearn Page
  • Words Vector with Spacy Page
  • Entity Extraction Page
  • Using spaCy's entity recognizer Page
  • Assigning roles using spaCy's parser Page
  • Robust language understanding with rasa NLU Page
  • Rasa NLU Page
  • Data-efficient entity recognition Page