pyabsa.tasks.AspectSentimentTripletExtraction.dataset_utils.data_utils_for_inference

Module Contents

Classes

ASTEInferenceDataset

Functions

generate_tags(tokens, start, end, scheme)

load_tokens(data)

class pyabsa.tasks.AspectSentimentTripletExtraction.dataset_utils.data_utils_for_inference.ASTEInferenceDataset(config, tokenizer, dataset_type='train')[source]
syn_post_vocab[source]
postag_vocab[source]
deprel_vocab[source]
post_vocab[source]
syn_post_vocab[source]
token_vocab[source]
all_tokens = [][source]
all_deprel = [][source]
all_postag = [][source]
all_postag_ca = [][source]
all_max_len = [][source]
labels = ['N', 'B-A', 'I-A', 'A', 'B-O', 'I-O', 'O', 'Negative', 'Neutral', 'Positive'][source]
prepare_infer_sample(text, ignore_error=True)[source]
prepare_infer_dataset(target_file, ignore_error=True)[source]
load_data_from_dict(data_dict, **kwargs)[source]
process_data(samples, ignore_error=True)[source]
__getitem__(index)[source]
__len__()[source]
convert_examples_to_features(**kwargs)[source]
get_syntax_annotation(sentence, annotation)[source]
generate_tags(tokens, start, end, scheme)[source]
get_dependencies(tokens)[source]
pyabsa.tasks.AspectSentimentTripletExtraction.dataset_utils.data_utils_for_inference.generate_tags(tokens, start, end, scheme)[source]
pyabsa.tasks.AspectSentimentTripletExtraction.dataset_utils.data_utils_for_inference.load_tokens(data)[source]