Project: deepQuest (GitHub Link)

deepQuest-master
- quest
  - keras_wrapper
    - plots
    - deprecated
      - staged_network.py
      - stage.py
      - ecoc_classifier.py
      - __init__.py
      - thread_loader.py
    - extra
      - external.py
      - evaluation.py
      - nms
        gpu_nms.pyx
        gpu_nms.hpp
        cpu_nms.pyx
        nms_kernel.cu
        setup.py
        __init__.py
        py_cpu_nms.py
        .gitignore
      - localization_utilities.py
      - __init__.py
      - callbacks.py
      - regularize.py
      - read_write.py
    - __init__.py
    - utils.py
    - cnn_model.py
    - dataset.py
    - cnn_model-predictor.py
    - test.py
    - model_ensemble.py
  - utils
    - ttables_to_dict.py
    - preprocess_text_word_vectors.py
    - vocabulary_size.sh
    - format_corpus_for_aligner.py
    - build_mapping_file.sh
    - __init__.py
    - README.md
    - utils.py
    - evaluate_from_file.py
    - config_pkl2py.py
    - preprocess_binary_word_vectors.py
  - pycocoevalcap
    - tokenizer
      - ptbtokenizer.py
      - __init__.py
    - meteor
      - meteor.py
      - data
      - __init__.py
    - eval.py
    - sentence_bleu
      - scorer.py
      - __init__.py
      - reference.py
      - sentence_bleu.py
    - sentence_ter
      - scorer.py
      - sentence_ter.py
      - __init__.py
      - reference.py
    - ter
      - __init__.py
      - ter.py
      - tercom.7.25
    - bleu
      - bleu_scorer.py
      - LICENSE
      - __init__.py
      - bleu.py
    - vqa
      - visual_qa.py
      - vqaEval.py
      - vqaEvalDemo.py
      - __init__.py
    - __init__.py
    - rouge
      - rouge.py
      - __init__.py
    - cider
      - cider.py
      - cider_scorer.py
      - __init__.py
  - meta-optimizers
    - spearmint
      - config.json
      - launch_spearmint.sh
      - __init__.py
      - README.md
      - spearmint_opt.py
  - data_engine
    - rebuild_dataset_from_config.py
    - prepare_data.py
    - __init__.py
  - score.py
  - __init__.py
  - main.py
  - keras
    - regularizers.py
    - datasets
      - cifar10.py
      - imdb.py
      - fashion_mnist.py
      - mnist.py
      - cifar100.py
      - boston_housing.py
      - __init__.py
      - cifar.py
      - reuters.py
    - utils
      - np_utils.py
      - test_utils.py
      - layer_utils.py
      - io_utils.py
      - generic_utils.py
      - conv_utils.py
      - __init__.py
      - vis_utils.py
      - data_utils.py
    - constraints.py
    - layers
      - convolutional.py
      - convolutional_recurrent.py
      - local.py
      - wrappers.py
      - normalization.py
      - attention.py
      - containers.py
      - pooling.py
      - noise.py
      - googlenet_custom_layers.py
      - embeddings.py
      - __init__.py
      - core.py
      - advanced_activations.py
      - merge.py
    - objectives.py
    - optimizers.py
    - applications
      - inception_v3.py
      - mobilenet.py
      - resnet50.py
      - xception.py
      - vgg19.py
      - inception_resnet_v2.py
      - imagenet_utils.py
      - __init__.py
      - vgg16.py
    - metrics.py
    - activations.py
    - backend
      - tensorflow_backend.py
      - theano_backend.py
      - cntk_backend.py
      - common.py
      - __init__.py
    - losses.py
    - models.py
    - engine
      - training.py
      - topology.py
      - __init__.py
    - __init__.py
    - legacy
      - interfaces.py
      - models.py
      - layers.py
      - __init__.py
    - callbacks.py
    - preprocessing
      - text.py
      - image.py
      - __init__.py
      - sequence.py
    - initializers.py
    - wrappers
      - scikit_learn.py
      - __init__.py
    - caffe
      - test_converted.py
      - test_converted_VGG_FACE.py
      - convert.py
      - models
        segmentation
        debug.prototxt
        deploy.prototxt
        test_segmentation.py
        caffemodel-url.txt
        Keras_model_structure.json
        alexnet_fcn_deploy.prototxt
        classes.txt
        train_val_for_keras.prototxt
      - __init__.py
      - README.md
      - caffe_utils.py
      - extra_layers.py
      - caffe2keras.py
  - regularize.py
- LICENSE
- configs
  - train-test-docQEPostech.sh
  - config-wordQEbRNN.py
  - config-docbRNN.py
  - config-sentQEbRNNEval.py
  - config-wordQEPostech.py
  - launch-models.sh
  - split-corpus.py
  - train-test-sentQEbRNN.sh
  - config-docQEPostech.py
  - config-phraseQEbRNN.py
  - train-test-sentQEPostech.sh
  - config-MTL.py
  - config-Predictor-large.py
  - config-sentQEbRNN.py
  - config-Predictor-small.py
  - config-phraseQEPostech.py
  - train-test-docQEbRNN.sh
  - example_config-WordQE.py
  - preprocess-data-predictor.sh
  - config-MTL2.py
  - config-sentQEPostech.py
- .travis.yml
- README.md
- requirements.txt
- .gitignore
- docs
  - source
    - Makefile
    - .special.rst
    - images
    - introduction.rst
    - help.rst
    - tutorials.rst
    - index.rst
    - conf.py
    - .gitignore
    - _static
      - hacks.css
    - installation.rst

DeepQuest -- Framework for neural-based Quality Estimation

Developed at the University of Sheffield, DeepQuest provides state-of-the-art models for multi-level Quality Estimation.

If you use this, please cite:

DeepQuest: a framework for neural-based Quality Estimation. Julia Ive, Frédéric Blain, Lucia Specia (2018).

@article{ive2018deepquest,
  title={DeepQuest: a framework for neural-based Quality Estimation},
  author={Julia Ive and Frédéric Blain and Lucia Specia},
  journal={In the Proceedings of COLING 2018, the 27th International Conference on Computational Linguistics, Sante Fe, New Mexico, USA},
  year={2018}
}

Documentation:

More information on https://sheffieldnlp.github.io/deepQuest

Acknowledgements

The development of DeepQuest received funding from the European Association for Machine Translation and the Amazon Academic Research Awards program.