rasa_contrib

rasa_contrib is a addon package for rasa. It provide some useful/powerful addition component.

component

Currently, it includes:

• addons_intent_classifier_textcnn_tf

  TextCNN based intent classifier, based on TensorFlow

• addons_intent_classifier_textcnn_paddle

  TextCNN based intent classifier, based on PaddlePaddle

• addons_ner_bilstm_crf_tf

  Embedding+BiLSTM+CRF based NER extractor, based on TensorFlow

• addons_ner_bilstm_crf_paddle

  Embedding+BiLSTM+CRF based NER extractor, based on PaddlePaddle

• bert_text_featurizer get BERT-based text vector feature

• bert_char_featurizer get BERT-based char/word vector feature

It also includes (but still work in progress):

• MicroAddonsTokenizer

  Chinese tokenizer component, based on MicroTokenizer

• StackedBilstmTensorFlowPolicy

  Stacked Bilstm based dialog policy, based on TensorFlow

• StackedBilstmPaddlePolicy

  Stacked Bilstm based dialog policy, based on PaddlePaddle

how to use it

Using the class path to the place where you should given a component name in config.yaml. This is a feature of rasa, see here for more document from rasa official document.

For example, your config.yml can be:

language: "zh"

pipeline:
  - name: "rasa_contrib.nlu..TensorflowNLP"
  - name: "rasa_contrib.nlu..BilstmCrfTensorFlowEntityExtractor"
    max_steps: 600
  - name: "rasa_contrib.nlu.TextCnnTensorFlowClassifier"
    max_steps: 600

policies:
  - name: MemoizationPolicy
  - name: rasa_contrib.core.StackedBilstmTensorFlowPolicy