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Types & classes20 in github.com/ShannonAI/mrc-for-flat-nested-ner

⨍ Functions 111◇ Types & classes 20
↓ 4 callersClassMRCNERDataset
MRC NER Dataset Args: json_path: path to mrc-ner style json tokenizer: BertTokenizer max_length: int, max length of q
datasets/mrc_ner_dataset.py:12
↓ 3 callersClassTag
utils/bmes_decode.py:9
↓ 3 callersClassTaggerNERDataset
MRC NER Dataset Args: data_path: path to Conll-style named entity dadta file. tokenizer: BertTokenizer max_length: in
datasets/tagger_ner_dataset.py:74
↓ 2 callersClassTruncateDataset
Truncate dataset to certain num
datasets/truncate_dataset.py:9
↓ 1 callersClassBERTTaggerClassifier
models/classifier.py:46
↓ 1 callersClassBertLabeling
train/mrc_ner_trainer.py:36
↓ 1 callersClassBertSequenceLabeling
train/bert_tagger_trainer.py:35
↓ 1 callersClassChineseMSRADataConfig
tests/count_sequence_max_length.py:33
↓ 1 callersClassEnglishCoNLL03DocDataConfig
tests/count_sequence_max_length.py:74
↓ 1 callersClassEnglishCoNLLDataConfig
tests/count_sequence_max_length.py:59
↓ 1 callersClassEnglishOntoDataConfig
tests/count_sequence_max_length.py:46
↓ 1 callersClassMultiNonLinearClassifier
models/classifier.py:21
↓ 1 callersClassOntoNotesDataConfig
tests/count_sequence_max_length.py:20
↓ 1 callersClassQuerySpanF1
Query Span F1 Args: flat: is flat-ner
metrics/query_span_f1.py:10
↓ 1 callersClassTaggerSpanF1
metrics/tagger_span_f1.py:10
ClassBertQueryNER
models/bert_query_ner.py:13
ClassBertQueryNerConfig
models/model_config.py:9
ClassBertTagger
models/bert_tagger.py:12
ClassBertTaggerConfig
models/model_config.py:16
ClassSingleLinearClassifier
models/classifier.py:10