def test_crf_extractor(spacy_nlp):
from rasa_nlu.extractors.crf_entity_extractor import CRFEntityExtractor
ext = CRFEntityExtractor()
examples = [
Message("anywhere in the west", {
"intent": "restaurant_search",
"entities": [{"start": 16, "end": 20, "value": "west", "entity": "location"}],
"spacy_doc": spacy_nlp("anywhere in the west")
}),
Message("central indian restaurant", {
"intent": "restaurant_search",
"entities": [{"start": 0, "end": 7, "value": "central", "entity": "location"}],
"spacy_doc": spacy_nlp("central indian restaurant")
})]
config = {"ner_crf": {"BILOU_flag": True, "features": ext.crf_features}}
ext.train(TrainingData(training_examples=examples), config)
sentence = 'anywhere in the west'
crf_format = ext._from_text_to_crf(Message(sentence, {"spacy_doc": spacy_nlp(sentence)}))
assert [word[0] for word in crf_format] == ['anywhere', 'in', 'the', 'west']
feats = ext._sentence_to_features(crf_format)
assert 'BOS' in feats[0]
assert 'EOS' in feats[-1]
assert feats[1]['0:low'] == "in"
sentence = 'anywhere in the west'
ext.extract_entities(Message(sentence, {"spacy_doc": spacy_nlp(sentence)}))
def test_crf_extractor(spacy_nlp):
from rasa_nlu.extractors.crf_entity_extractor import CRFEntityExtractor
ext = CRFEntityExtractor()
examples = [
Message("anywhere in the west", {
"intent": "restaurant_search",
"entities": [{"start": 16, "end": 20, "value": "west", "entity": "location"}],
"spacy_doc": spacy_nlp("anywhere in the west")
}),
Message("central indian restaurant", {
"intent": "restaurant_search",
"entities": [{"start": 0, "end": 7, "value": "central", "entity": "location"}],
"spacy_doc": spacy_nlp("central indian restaurant")
})]
config = {"ner_crf": {"BILOU_flag": True, "features": ext.crf_features}}
ext.train(TrainingData(training_examples=examples), config)
sentence = 'anywhere in the west'
crf_format = ext._from_text_to_crf(Message(sentence, {"spacy_doc": spacy_nlp(sentence)}))
assert [word[0] for word in crf_format] == ['anywhere', 'in', 'the', 'west']
feats = ext._sentence_to_features(crf_format)
assert 'BOS' in feats[0]
assert 'EOS' in feats[-1]
assert feats[1]['0:low'] == "in"
sentence = 'anywhere in the west'
ext.extract_entities(Message(sentence, {"spacy_doc": spacy_nlp(sentence)}))
def test_crf_extractor(spacy_nlp, ner_crf_pos_feature_config):
from rasa_nlu.extractors.crf_entity_extractor import CRFEntityExtractor
ext = CRFEntityExtractor(component_config=ner_crf_pos_feature_config)
examples = [
Message("anywhere in the west", {
"intent": "restaurant_search",
"entities": [{"start": 16, "end": 20,
"value": "west", "entity": "location"}],
"spacy_doc": spacy_nlp("anywhere in the west")
}),
Message("central indian restaurant", {
"intent": "restaurant_search",
"entities": [
{"start": 0, "end": 7, "value": "central",
"entity": "location", "extractor": "random_extractor"},
{"start": 8, "end": 14, "value": "indian",
"entity": "cuisine", "extractor": "CRFEntityExtractor"}
],
"spacy_doc": spacy_nlp("central indian restaurant")
})]
# uses BILOU and the default features
ext.train(TrainingData(training_examples=examples), RasaNLUModelConfig())
sentence = 'anywhere in the west'
doc = {"spacy_doc": spacy_nlp(sentence)}
crf_format = ext._from_text_to_crf(Message(sentence, doc))
assert [word[0] for word in crf_format] == ['anywhere', 'in',
'the', 'west']
feats = ext._sentence_to_features(crf_format)
assert 'BOS' in feats[0]
assert 'EOS' in feats[-1]
assert feats[1]['0:low'] == "in"
sentence = 'anywhere in the west'
ext.extract_entities(Message(sentence, {"spacy_doc": spacy_nlp(sentence)}))
filtered = ext.filter_trainable_entities(examples)
assert filtered[0].get('entities') == [
{"start": 16, "end": 20, "value": "west", "entity": "location"}
], 'Entity without extractor remains'
assert filtered[1].get('entities') == [
{"start": 8, "end": 14,
"value": "indian", "entity": "cuisine",
"extractor": "CRFEntityExtractor"}
], 'Only CRFEntityExtractor entity annotation remains'
assert examples[1].get('entities')[0] == {
"start": 0, "end": 7,
"value": "central", "entity": "location",
"extractor": "random_extractor"
}, 'Original examples are not mutated'
def test_crf_extractor(spacy_nlp, ner_crf_pos_feature_config):
from rasa_nlu.extractors.crf_entity_extractor import CRFEntityExtractor
ext = CRFEntityExtractor(component_config=ner_crf_pos_feature_config)
examples = [
Message("anywhere in the west", {
"intent": "restaurant_search",
"entities": [{"start": 16, "end": 20,
"value": "west", "entity": "location"}],
"spacy_doc": spacy_nlp("anywhere in the west")
}),
Message("central indian restaurant", {
"intent": "restaurant_search",
"entities": [
{"start": 0, "end": 7, "value": "central",
"entity": "location", "extractor": "random_extractor"},
{"start": 8, "end": 14, "value": "indian",
"entity": "cuisine", "extractor": "ner_crf"}
],
"spacy_doc": spacy_nlp("central indian restaurant")
})]
# uses BILOU and the default features
ext.train(TrainingData(training_examples=examples), RasaNLUModelConfig())
sentence = 'anywhere in the west'
doc = {"spacy_doc": spacy_nlp(sentence)}
crf_format = ext._from_text_to_crf(Message(sentence, doc))
assert [word[0] for word in crf_format] == ['anywhere', 'in', 'the', 'west']
feats = ext._sentence_to_features(crf_format)
assert 'BOS' in feats[0]
assert 'EOS' in feats[-1]
assert feats[1]['0:low'] == "in"
sentence = 'anywhere in the west'
ext.extract_entities(Message(sentence, {"spacy_doc": spacy_nlp(sentence)}))
filtered = ext.filter_trainable_entities(examples)
assert filtered[0].get('entities') == [
{"start": 16, "end": 20, "value": "west", "entity": "location"}
], 'Entity without extractor remains'
assert filtered[1].get('entities') == [
{"start": 8, "end": 14,
"value": "indian", "entity": "cuisine", "extractor": "ner_crf"}
], 'Only ner_crf entity annotation remains'
assert examples[1].get('entities')[0] == {
"start": 0, "end": 7,
"value": "central", "entity": "location",
"extractor": "random_extractor"
}, 'Original examples are not mutated'
def test_crf_extractor(spacy_nlp):
from rasa_nlu.extractors.crf_entity_extractor import CRFEntityExtractor
ext = CRFEntityExtractor()
examples = [
{
"text": "anywhere in the west",
"intent": "restaurant_search",
"entities": [{"start": 16, "end": 20, "value": "west", "entity": "location"}]
},
{
"text": "central indian restaurant",
"intent": "restaurant_search",
"entities": [{"start": 0, "end": 7, "value": "central", "entity": "location"}]
}]
ext.train(TrainingData(training_examples=examples), spacy_nlp, True, ext.crf_features)
crf_format = ext._from_text_to_crf('anywhere in the west', spacy_nlp)
assert ([word[0] for word in crf_format] == ['anywhere', 'in', 'the', 'west'])
feats = ext._sentence_to_features(crf_format)
assert ('BOS' in feats[0])
assert ('EOS' in feats[-1])
assert ('0:low:in' in feats[1])
ext.extract_entities('anywhere in the west', spacy_nlp)
def test_crf_extractor(spacy_nlp):
from rasa_nlu.extractors.crf_entity_extractor import CRFEntityExtractor
ext = CRFEntityExtractor()
examples = [{
"text":
"anywhere in the west",
"intent":
"restaurant_search",
"entities": [{
"start": 16,
"end": 20,
"value": "west",
"entity": "location"
}]
}, {
"text":
"central indian restaurant",
"intent":
"restaurant_search",
"entities": [{
"start": 0,
"end": 7,
"value": "central",
"entity": "location"
}]
}]
ext.train(TrainingData(entity_examples_only=examples), spacy_nlp, True,
ext.crf_features)
crf_format = ext._from_text_to_crf('anywhere in the west', spacy_nlp)
assert ([word[0]
for word in crf_format] == ['anywhere', 'in', 'the', 'west'])
feats = ext._sentence_to_features(crf_format)
assert ('BOS' in feats[0])
assert ('EOS' in feats[-1])
assert ('0:low:in' in feats[1])
ext.extract_entities('anywhere in the west', spacy_nlp)
