├── EVALB ├── COLLINS.prm ├── LICENSE ├── Makefile ├── README ├── evalb ├── evalb.c ├── new.prm ├── sample │ ├── sample.gld │ ├── sample.prm │ ├── sample.rsl │ └── sample.tst └── tgrep_proc.prl ├── LICENSE ├── README.md ├── Vagrantfile ├── configs ├── data_configs │ ├── ptb.yaml │ ├── quora.yaml │ └── snli.yaml └── model_configs │ ├── default.yaml │ ├── quora.yaml │ └── snli.yaml ├── decoder ├── __init__.py ├── attentive_decoder.py ├── base_decoder.py ├── beam_decoder.py ├── parallel_decoder.py └── rnn_decoder.py ├── encoder ├── __init__.py ├── attentive_encoder.py └── rnn_encoder.py ├── examples ├── __init__.py ├── test.py ├── train.py └── vae_new.py ├── main.py ├── metrics ├── __init__.py ├── base_metric.py ├── bleu_scorer.py ├── evaluation.py ├── f1_score.py ├── ppl.py ├── syntax_bleu.py ├── tools.py ├── unigram_kl.py └── vae_metrics.py ├── models ├── __init__.py ├── ae.py ├── base_vae.py ├── disentangle_vae.py ├── parallel_ae.py ├── seq2seq.py ├── syntax_guide_vae.py ├── syntax_vae.py ├── transformer.py └── vanilla_vae.py ├── nn_self ├── __init__.py ├── attention.py ├── basic.py ├── bridge.py ├── criterions.py ├── embeddings.py ├── mapper.py ├── rnn_base.py ├── sublayers.py └── weight_drop.py ├── preprocess ├── __init__.py ├── nmt_process.py ├── parse.py ├── process_main.py ├── quora_process.py ├── tokenize.py ├── tree_analysis.py ├── tree_convert.py └── tree_linearization.py ├── pytorch-projects.iml ├── scripts ├── eval │ ├── all_parser.sh │ ├── m-c.sh │ ├── m-e.sh │ ├── m-p.sh │ ├── m-s.sh │ ├── p-a.sh │ ├── p-g.sh │ ├── para_parser.sh │ ├── ptb-generating.sh │ ├── random_parser.sh │ ├── sp-a.sh │ ├── sp-g.sh │ ├── sp-generating.sh │ ├── ss-g.sh │ ├── syn_score.sh │ └── word_score.sh └── train │ ├── 500k.sh │ ├── ptb.sh │ ├── snli-full.sh │ ├── train.sh │ ├── webnlg-sample.sh │ └── webnlg.sh ├── struct_self ├── __init__.py ├── corpus.py ├── dataset.py ├── distance_tree.py ├── generate_dataset.py ├── global_names.py ├── paraphrase_scores.py ├── phrase_tree.py └── vocab.py ├── timbmgVAE ├── __init__.py ├── decoder.py ├── encoder.py ├── inference.py ├── model.py ├── ptb.py ├── train.py └── utils.py └── utils ├── __init__.py ├── __pycache__ └── nn_funcs.cpython-36.pyc ├── config_utils.py ├── math_utils.py ├── nest.py ├── nn_funcs.py ├── tensor_ops.py ├── utility.py └── vae_utils.py /EVALB/COLLINS.prm: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/baoy-nlp/DSS-VAE-pytorch/HEAD/EVALB/COLLINS.prm -------------------------------------------------------------------------------- /EVALB/LICENSE: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/baoy-nlp/DSS-VAE-pytorch/HEAD/EVALB/LICENSE -------------------------------------------------------------------------------- /EVALB/Makefile: -------------------------------------------------------------------------------- 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