pyabsa.tasks.AspectSentimentTripletExtraction.dataset_utils.data_utils_for_inference¶

Classes¶

ASTEInferenceDataset

Functions¶

`generate_tags`(tokens, start, end, scheme)
`load_tokens`(data)

Module Contents¶

class pyabsa.tasks.AspectSentimentTripletExtraction.dataset_utils.data_utils_for_inference.ASTEInferenceDataset(config, tokenizer, dataset_type='train')¶

syn_post_vocab = None¶

postag_vocab = None¶

deprel_vocab = None¶

post_vocab = None¶

token_vocab = None¶

all_tokens = []¶

all_deprel = []¶

all_postag = []¶

all_postag_ca = []¶

all_max_len = []¶

labels = ['N', 'B-A', 'I-A', 'A', 'B-O', 'I-O', 'O', 'Negative', 'Neutral', 'Positive']¶

prepare_infer_sample(text, ignore_error=True)¶

prepare_infer_dataset(target_file, ignore_error=True)¶

load_data_from_dict(data_dict, **kwargs)¶

process_data(samples, ignore_error=True)¶

data = None¶

nlp¶

config¶

tokenizer¶

dataset_type = 'train'¶

__getitem__(index)¶

__len__()¶

convert_examples_to_features(**kwargs)¶

get_syntax_annotation(sentence, annotation)¶

generate_tags(tokens, start, end, scheme)¶

get_dependencies(tokens)¶

pyabsa.tasks.AspectSentimentTripletExtraction.dataset_utils.data_utils_for_inference.generate_tags(tokens, start, end, scheme)¶

pyabsa.tasks.AspectSentimentTripletExtraction.dataset_utils.data_utils_for_inference.load_tokens(data)¶