├── .idea ├── PAPER-In-CODE.iml ├── markdown-navigator │ └── profiles_settings.xml ├── misc.xml ├── modules.xml └── vcs.xml ├── Attention Is All You Need └── README.md ├── Bi-RCNN-Relation-Classification ├── Biutil.py ├── README.md ├── bircnn.py ├── config_environment.py ├── config_hyper_parameter.py ├── data_generator.py ├── dependency_parse.py ├── pre_process.py ├── sentence_clean.py └── stanford.py ├── Interactive Matching Network for Multi-Turn Response Selection ├── __init__.py ├── models │ ├── __init__.py │ ├── config.py │ ├── data_helpers.py │ ├── eval.py │ ├── metrics.py │ ├── model_IMN.py │ └── train.py └── scripts │ └── compute_recall.py ├── Learning Structured Nature Language Representations for Semantic Parsing ├── generic_tree_generator │ ├── README.md │ ├── layers.py │ ├── main.py │ ├── model.py │ ├── post_process.py │ ├── pre_process.py │ ├── sexp.py │ └── tree.py └── sematic_parser │ ├── README.md │ ├── attention.py │ ├── derivation.py │ ├── kb_simple │ ├── README.md │ ├── attention.py │ ├── data │ │ └── example.graph │ ├── derivation.py │ ├── executor.py │ ├── generate_train_graph.py │ ├── generate_train_graph_spade.py │ ├── layers.py │ ├── loader_ranker.py │ ├── main.py │ ├── misc.py │ ├── model.py │ ├── post_process.py │ ├── pre_process.py │ ├── ranker.py │ ├── sempre_evaluation_lib.py │ ├── session.py │ ├── sexp.py │ ├── small_kb.py │ ├── test_ranker.py │ ├── train_ranker.py │ ├── tree.py │ └── util.py │ ├── layers.py │ ├── main.py │ ├── model.py │ ├── post_process.py │ ├── pre_process.py │ ├── sexp.py │ ├── tables │ ├── README.md │ ├── attention.py │ ├── db.py │ ├── derivation.py │ ├── layers.py │ ├── main.py │ ├── model.py │ ├── post_process.py │ ├── pre_process.py │ ├── sexp.py │ ├── tinydb │ │ ├── __init__.py │ │ ├── database.py │ │ ├── executor.py │ │ ├── middlewares.py │ │ ├── operations.py │ │ ├── queries.py │ │ ├── storages.py │ │ └── utils.py │ ├── tree.py │ └── util.py │ ├── tree.py │ └── util.py ├── Paper ├── Attention Is All You Need.pdf ├── Attention-Based Bidirectional Long Short-Term Memory Networks for Relation Classification.pdf ├── Bidirectional Recurrent Convolutional Neural Network for Relation classification.pdf ├── Deep Semantic Role Labeling with Self-Attention.pdf ├── Distant Supervision for Relation Extraction with Sentence-level Attention and Entiry Recognition.pdf ├── End-to-End Relation Extraction using LSTMs on Sequences and Tree Structures.pdf └── Learning Structured Natural Language Representations for Semantic Parsing.pdf ├── README.md └── Universal Sentence Encoder ├── README.md ├── classifier.py ├── data.py ├── data ├── README.md ├── script.bash └── tokenizer.sed ├── helper.py ├── main.py ├── nn_layer.py ├── test.py ├── train.py └── util.py /.idea/PAPER-In-CODE.iml: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/charlesXu86/PAPER-In-CODE/HEAD/.idea/PAPER-In-CODE.iml 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