Context

The Stanford Question Answering Dataset (SQuAD) is a reading comprehension dataset consisting of questions posed by crowdworkers on a set of Wikipedia articles. The answer to every question is a segment of text, or span, from the corresponding reading passage. There are 100,000+ question-answer pairs on 500+ articles.

Download here

train-v1.1.json dev-v1.1.json

Keras 2.0.4 Python: 2.7 & 3.x TensorFlow: 1.0.1

Model

Inspired by: Minjoon Seol, Aniruddha Kembhavi, Ali Farhadi, Hananneh Hajishirzi

University of Washington, Allen Institute for Artificial Intelligence

In Keras

3

Intuitive Explanation

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Predictions

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WAITING FOR THE NEURAL NETWORK TO TRAIN

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Evaluation

Chau's BiDAF Model (Single) -- 10Epos -- EM : 50.141 - F1: 80.981