* Add Reuters option in common.dataset
* Add Reuters option in common.dataset
* Add HAN model
* Add XML-CNN
* Add HAN
* Add Hierarchical tokenization for Reuters
* Add README for HAN
* Add XML Readme
* Update HAN Readme
* 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
* add SNLI dataset
* add STS-2014
* add STS-2014
* add trainers and evaluators for Quora
* add quora in datasets/
* process the merge confict in common/dataset.py
* add sts2014_evaluator.py and quora_evaluator.py
* 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
* Use PackedSequence in ConvRNNs instead
- Zero-padding is incompatible with the current model
* Update test script
* Clean up comments and logic
* Add TQDM to requirements
* Add results using default hyperparameters
* Update instructions to use Castor-models
* Consolidate requirements.txt
* Refine README with convenience scripts
* Update internal instructions
* MP-CNN working dir minor edit
* 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
* Refactor main README
* Update Anserini Dependency docs
* Update idf baseline and Kim CNN docs to use Castor-data
* Update remaining READMEs to reference Castor-data
* Change default path from data to Castor-data
* Fix wrong order of embeddings path