Questions based on English Comprehension are usually asked to check the Reader's understanding about the comprehension. Our aim is to develop an automated supervised algorithm which can help the system to learn from the comprehension and use it to determine correct answer to the respective question.
More details on this can be found on the following link: https://sites.google.com/iiitdmj.ac.in/cs615ml18/home
Install TensorFlow version 1.2+ in Python 3 Also make sure you’ve installed each of the following: Jupyter Numpy Matplotlib Optionally, you can install TQDM to view training progess and get training speed metrics, but it's not required.
Download the Stanford’s Global Vectors for Word Representation (GloVe) dataset from http://nlp.stanford.edu/data/glove.6B.zip and dtore in 'glove_zip_file'
Also download the Babi dataset from https://s3.amazonaws.com/text-datasets/babi_tasks_1-20_v1-2.tar.gz and store it in 'data_set_zip'
Now simply clone the provided repository and run the notebook 'QA - Test.ipynb'