* Add ReutersTrainer, ReutersEvaluator options in Factory classes
* Add Reuters to Kim-CNN command line arguments
* Fix SST dataset path according to changes in Kim-CNN args
The dataset path in args.py was made to point at the dataset folder rather than dataset/SST folder. Hence SST folder was added to paths in the SST dataset class
* Add Reuters dataset class, and support in __main__
* Add Reuters dataset trainers and evaluators
* Remove debug print statement in reuters_evaluator
* Fix rounding bug in reuters_trainer and reuters_evaluator
* Add LSTM for baseline text classification measurements
* Add eval metrics for lstm_baseline
* Set batch_first param in lstm_baseline
* Remove onnx args from lstm_baseline
* Pack padded sequences in LSTM_baseline
* Add TensorBoardX support for Reuters trainer
* Add Arxiv Academic Paper Dataset (AAPD)
* Add Hidden Bottleneck Layer to BiLSTM
* Fix packing of padded tensors in Reuters
* Add cmdline args for Hidden Bottleneck Layer for BiLSTM
* Include pre-padding lengths in AAPD dataset
* Remove duplication of preprocessing code in AAPD
* Remove batch_size condition in ReutersTrainer
* Add ReutersTrainer, ReutersEvaluator options in Factory classes
* Add Reuters to Kim-CNN command line arguments
* Fix SST dataset path according to changes in Kim-CNN args
The dataset path in args.py was made to point at the dataset folder rather than dataset/SST folder. Hence SST folder was added to paths in the SST dataset class
* Add Reuters dataset class, and support in __main__
* Add Reuters dataset trainers and evaluators
* Remove debug print statement in reuters_evaluator
* Fix rounding bug in reuters_trainer and reuters_evaluator
* Refactor datasets
* Update evaluators
* Update trainers
* Update main and MP-CNN model
* Add serialization util
* Fix bugs
* Refactoring for NCE to use new parent class