RasaHQ / rasa

💬 Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management, connect to Slack, Facebook, and more - Create chatbots and voice assistants
https://rasa.com/docs/rasa/
Apache License 2.0
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Entity extractor is not generalising. #1384

Closed utkarshrai2 closed 6 years ago

utkarshrai2 commented 6 years ago
**Rasa NLU version**: 0.12.3 **Operating system** (windows, osx, ...): ubantu 16.06 **Content of model configuration file**: ```yml language: "en" pipeline: - name: "nlp_spacy" - name: "tokenizer_spacy" - name: "intent_entity_featurizer_regex" - name: "intent_featurizer_spacy" - name: "ner_crf" - name: "ner_synonyms" - name: "intent_featurizer_ngrams" - name: "intent_classifier_sklearn" ``` **Issue**: i am building a simple faq bot. i need to identify entities as answers vary according to entity. Presently my dataset is small. NLU is giving good results for training data but not for unseen data. I think nlu unit is overfitting. How do i resolve this issue.
akelad commented 6 years ago

Please ask this kind of question in our forum