tag-based-multi-span-extraction:EMNLP 2020 正式实施，《A Simple and Ef...
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2021-05-29
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tag-based-multi-span-extraction-master.zip （89个子文件） 
tag-based-multi-span-extraction-master drop_data 
drop_dataset_train.json 50.28MB
license.txt 20KB drop_dataset_dev_standardized.json 13.4MB drop_dataset_train_standardized.json 57.14MB drop_dataset_dev.json 12.75MB tools dropify_quoref.py 2KB standardize_drop.py 795B generate_submission_predictions.py 2KB quoref_data README.txt 601B quoref-train-v0.1.json 14.99MB quoref_dataset_train.json 22.05MB quoref_dataset_dev.json 2.71MB quoref-dev-v0.1.json 1.83MB src models multi_head_model.py 19KB __init__.py 0B training metrics custom_em_and_f1.py 6KB __init__.py 0B __init__.py 0B data fields labels_field.py 5KB __init__.py 0B dataset_readers quoref quoref_utils.py 1KB __init__.py 0B quoref_reader.py 15KB drop drop_reader.py 16KB drop_utils.py 8KB __init__.py 0B utils.py 10KB __init__.py 0B answer_field_generators utils.py 0B count_answer_generator.py 2KB __init__.py 0B answer_field_generator.py 420B tagged_answer_generator.py 8KB span_answer_generator.py 3KB arithmetic_answer_generator.py 4KB __init__.py 0B tokenizers tokenization_utils.py 10KB huggingface_transformers_tokenizer.py 6KB __init__.py 0B __init__.py 0B modules heads count_head.py 3KB question_span_head.py 1KB single_span_head.py 7KB passage_span_head.py 753B multi_span_head.py 23KB head.py 383B __init__.py 0B arithmetic_head.py 7KB __init__.py 0B utils decoding_utils.py 701B viterbi_decoding.py 9KB analysis analysis_num_tokens_and_occurrences.py 8KB analysis_by_number_of_spans.ipynb 86KB analysis_num_tokens_and_occurrences.ipynb 36KB configs quoref roberta quoref_roberta_large_TASE_BIO.jsonnet 306B quoref_roberta_large_TASE_BIO_SSE.jsonnet 310B quoref_roberta_large_TASE_IO.jsonnet 305B quoref_roberta_large_TASE_BIOUL.jsonnet 308B quoref_roberta_large_TASE_IO_SSE.jsonnet 309B quoref_roberta_large_SSE.jsonnet 301B bert quoref_bert_large_TASE_BIO_SSE.jsonnet 334B abstract quoref_model.jsonnet 625B quoref_TASE_BIO_SSE.jsonnet 498B quoref_TASE_BIOUL.jsonnet 545B quoref_TASE_IO.jsonnet 494B quoref_TASE_BIO.jsonnet 426B quoref_SSE.jsonnet 490B quoref_TASE_IO_SSE.jsonnet 566B drop roberta drop_roberta_large_TASE_IO.jsonnet 303B drop_roberta_large_TASE_BIO_SSE.jsonnet 308B drop_roberta_large_TASE_BIO_no_marg.jsonnet 571B drop_roberta_large_SSE.jsonnet 299B drop_roberta_large_TASE_BIOUL.jsonnet 306B drop_roberta_large_TASE_IO_SSE.jsonnet 307B drop_roberta_large_TASE_BIO.jsonnet 304B bert drop_bert_large_TASE_BIO_SSE.jsonnet 332B abstract drop_TASE_BIO_SSE.jsonnet 887B drop_TASE_BIOUL.jsonnet 762B drop_TASE_IO.jsonnet 711B drop_TASE_BIO.jsonnet 643B drop_TASE_IO_SSE.jsonnet 955B drop_SSE.jsonnet 797B drop_model.jsonnet 834B abstract model.jsonnet 5KB requirements.txt 81B .gitignore 1KB README.md 2KB predictions quoref_predictions.jsonl 977KB drop_predictions.jsonl 7.57MB资源评论
