code_naive_embeddings

This repository contains the code for obtaining naive embeddings (i.e., sequence of characters/tokens) and training the sequence-based Multilayered Bidirectional GRU model.

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Structure

├── config.py          # Define path/parameters for data/model
├── helper.py          # Helper fucntions: log/track/vocab
├── main.py            # Load data, Create Vocabulary, and Run Model 
├── model_handler.py   # Multilayered Bidirectional GRU model
├── token_encoder.py   # Input encoder: OneHot/GloVe/MethodToken

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Related Work: https://github.com/mdrafiqulrabin/handcrafted-embeddings