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24 Commits
Author SHA1 Message Date
Ralph Tang 3855254870 Tidy up some code (#174) 2019-02-06 13:36:48 -05:00
Ashutosh-Adhikari d326e575c6 Add TAR and AR (#172) 
* Add TAR and AR
 2019-01-25 16:39:35 -05:00
Ashutosh-Adhikari dc086e895f Add document classification models and datasets (#171) 
* 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

* Fix duplicate printing of header in ReutersTrainer

* Add support for single_label datasets in ReutersTrainer

* Add support for IMDB dataset in lstm_baseline and lstm_reg

* Fix evaluator call in main method of HAN

* Add IMDB for HAN

* Fix for single_label

* Fix evaluate_dataset method for single_label datasets

* Reduce default patience to 5 epochs before early stopping

* Revert change to save_state rather than the entire model

* Add Yelp 2018 dataset

* Integrate Yelp2018 with LSTM baseline

* Replace Yelp2018 with Yelp2014 dataset

* Add Yelp2014 to LSTM Baseline

* Integrate Yelp14 into LSTM Regularization

* Remove dropout in HBL for LSTM Baseline and Reg

* Add Yelp for HAN

* Fix the saving issue for HAN

* Fix loading for HAN

* Fix typo in ReutersEvaluator

* Print to STDOUT rather than logger

* Print XML-CNN eval to STDOUT rather than logger

* Update max_length for IMDB dataset

* Add single_label support for char_cnn

* Fix evaluation method for char_cnn

* Remove unwanted parameters from ReutersTrainer and ReutersEval

* Fix code formatting in lstm_reg/args

* Add support for IMDB and Yelp in KimCNN

* Fix single_label incorporation

* Remove unnecessary conditions

* Fix num_classes in Yelp2014

* Add single_label support for XML-CNN

* Fix call to evaluator in XML-CNN

* Address PEP8 issues

* Address PEP8 issues

* Address PEP8 issues

* Address PEP8 issues
 2019-01-25 13:02:37 -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 addc4506d1 Add model checkpointing to ReutersTrainer (#158) 
* 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
 2018-11-07 17:15:30 -05:00
Ashutosh-Adhikari 91ed6261db Add regularization modules for LSTM baseline (#156) 
* Add Regularization Modules for LSTM

* Update Reuters Trainer and Evalueator for regularization

* Remove unnecessary comments

* Comply with PEP8

* Comply import order with PEP8

* Fix typos in README.md

* Comply with PEP8

* Add BSD 3-Clause Licence

* Remove deprecated call to Variable for PyTorch 0.4

* Update dataset selection in main

* Remove block comments
 2018-11-06 10:48:28 -05:00
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
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 7dec34a106 Add sts2014 and quora evaluators in common/evaluators/ (#151) 
* 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
 2018-10-09 09:10:37 -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
Achyudh Ram 1b817d3e24 WIP: Add Reuters-21578 dataset (#147) 
* 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
 2018-10-02 21:09:51 -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 8a00f9cdcd Make Kim CNN ONNX-exportable (#136) 
* Kim CNN - only set embedding for corresponding mode

* Kim CNN ONNX Export

* Specify dummy ONNX input size from command line
 2018-08-04 17:30:24 -04:00
Michael Tu 8563ad5976 Kim CNN OOP Refactoring (#124) 
* Nuke obsolete artifacts

* Refactor Kim CNN

* Make kim_cnn a module

* Fix bugs

* Update README

* Add choices to dataset arg

* update for sst2

update sst.py

update sst.py

* Add Kim CNN dataset choices to args.py

* Update tuned SST-1 accuracy
 2018-07-03 16:42:31 -04:00
Michael Tu 2f7731b4d5 Update data path (#127) 2018-06-23 23:55:42 -04:00
Victor Yang 921a45e7ca add storing prediction/qrel files option for test set (#125) 
* add prediction/qrel files dump option

* fix comment
 2018-06-18 20:43:40 -04:00
Ralph Tang 62f8abec7f Add README (#110) 
* Make *QA/MSRVID work with VDPWI

* Add README
 2018-05-25 11:52:25 -04:00
Michael Tu ef05240819 Update MP-CNN Doc with Pre-Trained Models (#111) 
* Delete outdated troubleshooting section

* QAEvalutor bugfix

* Add instructions for pre-trained models
 2018-05-25 11:51:19 -04:00
Ralph Tang 494ce36575 Refactor VDPWI to use common API (#109) 2018-05-25 01:30:53 -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