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)