Entity Extraction ner_crf

Rasa Open Source
1

I’m trying to extract multiple intents using the TF pipeline example however I can not seem to get any entities to extract using ner_crf.

My version of Rasa is current at 0.15.1

My config file is pretty standard for the multiple intents classification: language: en

pipeline:
- name: tokenizer_whitespace
- name: intent_entity_featurizer_regex
- name: ner_crf
- name: ner_synonyms
- name: intent_featurizer_count_vectors
- name: intent_classifier_tensorflow_embedding
  intent_tokenization_flag: true
  intent_split_symbol: +

An example of my training data is, I have almost 1000 variations of common_examples

{
"rasa_nlu_data":{
    "regex_features":[
        {
            "name":"coordinal",
            "pattern":"[0-3][0-9][0-9]"
        }
    ],
    "entity_synonyms":[],
    "common_examples":[
        {
            "text":"turn right heading",
            "intent":"changeHdg",
            "entities":[
                {
                    "end":10,
                    "entity":"long",
                    "start":5,
                    "value":"right"
                }
            ]
        }
    ]
}
}

So when I try turn right heading 350 I expect to get (right, 350) as my entities but I get nothing.

Could anyone lend second pair of eyes?

2

Are the numbers failing to extract? I’d advise using duckling for this with the number dimension - here’s the docs