CWS+POS tag interface

Rewrite classification model and add initialization for conv_maxpool module

update docs

move example to docs

update

add more badges in README

- improve code comments
- BaseLoader & its subclasses does not need a data name any more
- update file tree
- add setup.py

[add] PeopleDailyCorpusLoader, to parse PeopleDaily Corpus
[update] add CWS + POS_tag interface at FastNLP, see example in test_fastNLP.py
[update] modify README.md and readme_example.py to the latest version.

Chinese word segmentation interface

- see test_fastNLP.py
- update interpret_word_seg_results in fastnlp.py
- delete useless data to increase git clone speed

1. Tester has a parameter "print_every_step" to control printing. print_every_step == 0 means NO print.
2. Tester's evaluate return (list of) floats, rather than torch.cuda.tensor
3. Trainer also has a parameter "print_every_step". The same usage.
4. In training, validation steps are not shown.
5. Updates to code comments.
6. fastnlp.py is ready for CWS. test_fastNLP.py works.

fix a bug (when restore the pickle_file , cannot restore dev.pkl)

- specify the name of the config file and the name of corresponding section where model init params store.
- fastnlp.py needs load_pickle to get dictionary size and the number of labels
- other minor adjustments

- change inputs of fastnlp from string to list of strings
- adopt flexible outputs according to diff tasks

Test code

In line 100, add a if statement to check whether there exists a file named "data_dev.pkl" in the pickle path. If not, the file won't be loaded.

modify readme example

add MLP decoder

New Trainer Initialization Interface

- add Loss, Optimizer
- change Trainer & Tester initialization interface: two styles of definition provided
- handle Optimizer construction and loss function definition in a hard manner
- add argparse in task-specific scripts. (seq_labeling.py & text_classify.py)
- seq_labeling.py & text_classify.py work