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11 Commits
Author SHA1 Message Date
Ralph Tang 3855254870 Tidy up some code (#174) 2019-02-06 13:36:48 -05:00
Achyudh Ram 951df4ada5 Neural Document Classification (#159) 
* 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

* Add AAPD dataset support for KimCNN

* Fix dataset paths for SST-1

* Fix dimensions of FC1 in CharCNN

* Add model checkpointing for Reuters based on F1

* Refactor LSTM baseline __main__

* Add precision, recall and F1 to Reuters evaluator

* Checkpoint only at the end of an epoch for ReutersTrainer

Add detailed log printing for dev evaluations

* Fix log_template and dev_log_template in ReutersTrainer

* Add IMDB dataset

* Add support for single_label datasets in ReutersTrainer

* Add support for IMDB dataset in lstm_baseline and lstm_reg
 2018-11-10 23:07:11 -05:00
Achyudh Ram 6daa5a128f Replication of STOA for Reuters Dataset (#152) 
* 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
 2018-10-26 19:10:19 -04:00
Ashutosh-Adhikari 650882fb6e Add HAN and XML_CNN for Doc Classification (#154) 
* 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
 2018-10-25 15:45:13 -04:00
Linqing Liu de56206fe4 add SNLI / STS-2014 / Quora dataset (#148) 
* add SNLI dataset

* add STS-2014

* add trainers and evaluators for Quora

* add quora in datasets/

* process the  merge confict in common/dataset.py
 2018-10-08 19:23:22 -04:00
Ashutosh-Adhikari 999e0c88f2 Add Reuters dataset option for common.dataset (#149) 
* Add Reuters option in common.dataset
 2018-10-07 00:57:38 -04:00
Victor Yang 10e4e56817 Add twitter url dataset (#145) 
* add prediction/qrel files dump option

* fix comment

* add twitter-url dataset, minor refactor

* fix minor error
 2018-09-08 11:16:23 +08:00
Victor Yang 5afb845a4b Add PIT2015 dataset (#141) 
* add prediction/qrel files dump option

* fix comment

* upgrade to torchtext 0.3

* remove ngram

* update device

* minor update

* add pit2015

* revert update torchtext

* revert update torchtext

* revert update torchtext
 2018-08-12 18:56:08 -04:00
Michael Tu 2f7731b4d5 Update data path (#127) 2018-06-23 23:55:42 -04:00
Michael Tu d7a631b0a9 MP-CNN with Bugs Fixed and PyTorch v0.4 (#107) 
* 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
 2018-05-24 23:42:13 -04:00
Ralph Tang fbd8629ca2 Move MPCNN API to common module (#105) 2018-05-24 18:02:37 -04:00