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fastNLP
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fastNLP/tests/data_for_tests/conll_example.txt

conll_example.txt 565 B
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1. add tests in test_fastNLP.py & test_sampler.py; increase test coverage to 81% 2. changes of names: aggregation ----> aggregator interaction ----> interactor action.py ----> sampler.py BasePreprocess ---> Preprocessor BaseTester ----> Tester BaseTrainer ----> Trainer 3. add more code comments 4. fix bugs in predictor's data_forward 5. in sampler.py, remove Bachifier, fix some codes. but not test 6. remove unused codes in other_modules.py & utils.py 7. update fastnlp.py with new config file names and code comments 8. add data examples in data_for_tests/
6 years ago
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  1. 1   I           _   PRP PRP _   2   SUB

  2. 2   solved      _   VBD VBD _   0   ROOT

  3. 3   the         _   DT  DT  _   4   NMOD

  4. 4   problem     _   NN  NN  _   2   OBJ

  5. 5   with        _   IN  IN  _   2   VMOD

  6. 6   statistics  _   NNS NNS _   5   PMOD

  7. 7   .           _   .   .   _   2   P

  8. 

  9. 1   I           _   PRP PRP _   2   SUB

  10. 2   solved      _   VBD VBD _   0   ROOT

  11. 3   the         _   DT  DT  _   4   NMOD

  12. 4   problem     _   NN  NN  _   2   OBJ

  13. 5   with        _   IN  IN  _   2   VMOD

  14. 6   statistics  _   NNS NNS _   5   PMOD

  15. 7   .           _   .   .   _   2   P

一款轻量级的自然语言处理（NLP）工具包，目标是减少用户项目中的工程型代码，例如数据处理循环、训练循环、多卡运行等