def extract_features(self, instance):
_sentence_feature_extractor = MaltParsedSentenceFeatureExtractor()
result_tuple = _sentence_feature_extractor.extract_features(instance)
# copying attributes
self.token_collection = _sentence_feature_extractor.get_token_collection(
)
self.word_pos_tuple_collection = _sentence_feature_extractor.get_word_pos_tuple_collection(
)
# malformed instance
if result_tuple is None:
return (None, None, None)
# call _get_seq_model after copying attributes from MaltParsedFeatureExtactor
# depending on if result_tuple is list or single tuple, take action
if isinstance(result_tuple, list):
result_list = []
for _item in result_tuple:
result_item = self._get_seq_model(_item)
result_list.append(result_item)
return result_list
else:
result = self._get_seq_model(result_tuple)
return result
def extract_features(self, instance):
_sentence_feature_extractor = MaltParsedSentenceFeatureExtractor()
result_tuple = _sentence_feature_extractor.extract_features(instance)
# copying attributes
self.token_collection = \
_sentence_feature_extractor.get_token_collection()
self.word_pos_tuple_collection = \
_sentence_feature_extractor.get_word_pos_tuple_collection()
# malformed instance
if result_tuple is None:
return (None,None,None)
# call _get_seq_model after copying attributes from
# MaltParsedFeatureExtactor
# depending on if result_tuple is list or single tuple, take action
if isinstance(result_tuple,list):
result_list = []
for _item in result_tuple:
result_item = self._get_lexicalized_seq_model(_item)
result_list.append(result_item)
return result_list
else:
result = self._get_lexicalized_seq_model(result_tuple)
return result
def extract_features(self, instance):
_sentence_feature_extractor = MaltParsedSentenceFeatureExtractor()
result_tuple = _sentence_feature_extractor.extract_features(instance)
# malformed instance
if result_tuple is None:
return (None,None,None)
# depending on if result_tuple is list or single tuple, take action
if isinstance(result_tuple,list):
result_list = []
for _item in result_tuple:
result_item = self._get_lexicalize_features(_item)
result_list.append(result_item)
return result_list
else:
result = self._get_lexicalize_features(result_tuple)
return result
def extract_features(self, instance):
_sentence_feature_extractor = MaltParsedSentenceFeatureExtractor()
result_tuple = _sentence_feature_extractor.extract_features(instance)
# malformed instance
if result_tuple is None:
return (None, None, None)
# depending on if result_tuple is list or single tuple, take action
if isinstance(result_tuple, list):
result_list = []
for _item in result_tuple:
result_item = self._get_lexicalize_features(_item)
result_list.append(result_item)
return result_list
else:
result = self._get_lexicalize_features(result_tuple)
return result
def extract_features(self, instance):
try:
_sentence_feature_extractor = MaltParsedSentenceFeatureExtractor()
result_tuple = _sentence_feature_extractor.extract_features(instance)
if result_tuple is None:
return (None,None,None,None)
# depending on if result_tuple is list or single tuple, take action
if isinstance(result_tuple,list):
result_list = []
for _item in result_tuple:
result_item = self.get_instance_length(_item)
result_list.append(result_item)
return result_list
else:
result = self.get_instance_length(result_tuple)
return result
except Exception as ex:
pass
return (None,None,None,None)
def extract_features(self, instance):
try:
_sentence_feature_extractor = MaltParsedSentenceFeatureExtractor()
result_tuple = _sentence_feature_extractor.extract_features(
instance)
if result_tuple is None:
return (None, None, None, None)
# depending on if result_tuple is list or single tuple, take action
if isinstance(result_tuple, list):
result_list = []
for _item in result_tuple:
result_item = self.get_instance_length(_item)
result_list.append(result_item)
return result_list
else:
result = self.get_instance_length(result_tuple)
return result
except Exception as ex:
pass
return (None, None, None, None)
