I am using Rasa version 1.10.9 and i want to use the lookup table feature for entity recognition. My config.py file:
language: en pipeline: - name: SpacyNLP model: en_core_web_md case_sensitive: False - name: SpacyTokenizer intent_tokenization_flag: False intent_split_symbol: "_" - name: SpacyFeaturizer - name: RegexFeaturizer - name: LexicalSyntacticFeaturizer - name: CountVectorsFeaturizer - name: CountVectorsFeaturizer analyzer: "char_wb" min_ngram: 1 max_ngram: 4 - name: DucklingHTTPExtractor url: "http://localhost:8000" dimensions: ["number"] - name: RegexFeaturizer - name: CRFEntityExtractor features: [ ["low", "title", "upper"], ["bias", "low", "prefix5", "prefix2", "suffix5", "suffix3","suffix2", "upper", "title", "digit", "pattern"], ["low", "title", "upper"] ] - name: DIETClassifier epochs: 100 - name: EntitySynonymMapper - name: ResponseSelector epochs: 100
My nlu file contains:
## lookup:food - data/food_list.txt
First issue is that why is it giving me this future warning when i train rasa nlu: FutureWarning: Directly including lookup tables as a list is deprecated since Rasa 1.6. regex_pattern = self._generate_lookup_regex(table)
Is there a new way to specify the lookup table since version 1.6?
and further after training i do rasa shell nlu and i give “Chicken Chilli Maggie” which is present in my lookup list, DietClassifier does entity recognition and not the CRFEntityExtractor and recognizes only “Chicken Chilli” and not the whole entity
How to make rasa use the lookup list? Am i missing something? Also how can Rasa give preference to one entity extractor over other? like in this case i want preference given to entity recognized by CRFEntityExtractor and if it misses some entity then fallback on DietClassifier for entity extraction. Is it possible?