pyabsa.tasks.AspectSentimentTripletExtraction.dataset_utils.aste_utils¶

Attributes¶

label

Classes¶

`Instance`
`Metric`
`DataIterator`
`VocabHelp`

Functions¶

`get_spans`(tags)	for BIO tag
`get_evaluate_spans`(tags, length, token_range)	for BIO tag
`load_data_instances`(sentence_packs, post_vocab, ...)
`load_tokens`(filename)
`get_aspects`(tags, length, token_range[, config])
`get_opinions`(tags, length, token_range[, config])

Module Contents¶

pyabsa.tasks.AspectSentimentTripletExtraction.dataset_utils.aste_utils.label = ['N', 'B-A', 'I-A', 'A', 'B-O', 'I-O', 'O', 'Negative', 'Neutral', 'Positive']¶

pyabsa.tasks.AspectSentimentTripletExtraction.dataset_utils.aste_utils.get_spans(tags)¶: for BIO tag

pyabsa.tasks.AspectSentimentTripletExtraction.dataset_utils.aste_utils.get_evaluate_spans(tags, length, token_range)¶: for BIO tag

class pyabsa.tasks.AspectSentimentTripletExtraction.dataset_utils.aste_utils.Instance(tokenizer, sentence_pack, post_vocab, deprel_vocab, postag_vocab, synpost_vocab, config)¶

Bases: object

id¶

sentence¶

tokens¶

postag¶

head¶

deprel¶

sen_length¶

token_range = []¶

text_ids¶

length¶

bert_tokens_padding¶

aspect_tags¶

opinion_tags¶

tags¶

tags_symmetry¶

mask¶

word_pair_position¶

word_pair_deprel¶

word_pair_pos¶

word_pair_synpost¶

get_data()¶

pyabsa.tasks.AspectSentimentTripletExtraction.dataset_utils.aste_utils.load_data_instances(sentence_packs, post_vocab, deprel_vocab, postag_vocab, synpost_vocab, config)¶

pyabsa.tasks.AspectSentimentTripletExtraction.dataset_utils.aste_utils.load_tokens(filename)¶

class pyabsa.tasks.AspectSentimentTripletExtraction.dataset_utils.aste_utils.Metric(config, predictions, goldens, bert_lengths, sen_lengths, tokens_ranges)¶

config¶

predictions¶

goldens¶

bert_lengths¶

sen_lengths¶

tokens_ranges¶

ignore_index = -1¶

data_num¶

get_spans(tags, length, token_range, type)¶

find_pair(tags, aspect_spans, opinion_spans, token_ranges)¶

find_triplet(tags, aspect_spans, opinion_spans, token_ranges)¶

score_aspect()¶

score_opinion()¶

score_uniontags()¶

parse_triplet(golden=True)¶

score_uniontags_print()¶

tagReport()¶

pyabsa.tasks.AspectSentimentTripletExtraction.dataset_utils.aste_utils.get_aspects(tags, length, token_range, config=None)¶

pyabsa.tasks.AspectSentimentTripletExtraction.dataset_utils.aste_utils.get_opinions(tags, length, token_range, config=None)¶

class pyabsa.tasks.AspectSentimentTripletExtraction.dataset_utils.aste_utils.DataIterator(instances, config)¶

Bases: object

instances¶

config¶

batch_count¶

get_batch(index)¶

__len__()¶

__iter__()¶

class pyabsa.tasks.AspectSentimentTripletExtraction.dataset_utils.aste_utils.VocabHelp(counter, specials=['<pad>', '<unk>'])¶

Bases: object

pad_index = 0¶

unk_index = 1¶

itos = ['<pad>', '<unk>']¶

stoi¶

__eq__(other)¶

__len__()¶

extend(v)¶

static load_vocab(vocab_path: str)¶

save_vocab(vocab_path)¶