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AAAI-19 paper: "Neural Relation Extraction Within and Across Sentence Boundaries"

This repository consists of the following data

  1. data: The folder contains MUC6 entity and relation annotations.

  2. code Contains the codebase for idepnn models

    • hyper_param_search.py - specify various hyper parameter configurations in this file

    Features: Major features used for training are: - position_indicator_embedding - context window - postag - entity_class - subtree

    Training: THEANO_FLAGS='float=float64' python hyper_param_search.py

    Prediction: Set "train_model" = False, "reload_model" = True and load model by specifying the path in "reload_path"

    ***** Detailed documentation in directory: "./documentation" *****

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