Achyudh Ram cc275f6bde Add CharacterCNN for Document Classification (#155) ...

* 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 ignore_lengths option to ReutersTrainer and ReutersEvaluator

* Add AAPDCharQuantized and ReutersCharQuantized

* Rename Reuters_hierarchical to ReutersHierarchical

* Add CharacterCNN for document classification

* Update README.md for CharacterCNN

* Fix table in README.md for CharacterCNN

* Add AAPDHierarchical for HAN

* Update HAN for changes in Reuters dataset endpoints

* Fix bug in CharCNN when running on CPU

2018-10-28 19:01:54 -04:00

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