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bidaf's Introduction

Bi-Directional Attention Flow for Machine Comprehension

This is a 🔥 PyTorch 🔥 implementation of the seminal BiDAF Paper from Allen AI(https://arxiv.org/pdf/1611.01603.pdf)

Architecture

BIDAF Architecture

My modifications include :neckbeard: 🚀 :

  • QA on a token level instead of a character level ( I use Spacy 2.1.9 to create the dataset from SQUAD )
  • Swapping out GloVe for Elmo for improved performance

Dataset

I have uploaded a sample dataset from the SQUAD Dataset. Download the complete dataset at SQUAD QA Dataset

Demo

:bowtie: I have also implemented a Streamlit App to interact with the model! :bowtie:

Streamlit App

Instructions

To Install Requirements

pip install -r requirements.txt

To Train a New Model

python train.py

To Run the Demo Streamlit App

streamlit run app.py

Improvements

✌️ Pull requests are welcome for any improvements/features ✌️

bidaf's People

Contributors

dsouzadaniel avatar

Stargazers

grieve.eth avatar Yuya Jeremy Ong avatar Jeremy Sun avatar David Zhao avatar

Watchers

avatar paper2code - bot avatar

Forkers

sergiolucero shivampanchal

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