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README.md

Attentive Reader

Tensorflow implementation of Google DeepMind's Teaching Machines to Read and Comprehend. This implementation contains:

models

  1. Deep LSTM Reader
  2. Attentive Reader (in progress)
  3. Impatient Reader (in progress)
    • with Bidirectional LSTMs with peephole weights
    • with recurrent accumulation of information from the document while reading the query

Prerequisites

Usage

First, you need to download DeepMind Q&A Dataset from here, save cnn.tgz and dailymail.tgz into the repo, and run:

$ ./unzip.sh cnn.tgz dailymail.tgz

Then run the pre-processing code with:

$ python data_utils.py data cnn

To train a model with cnn dataset:

$ python main.py --dataset cnn

To test an existing model:

$ python main.py --dataset cnn --forward_only True

(in progress)

Results

in progres, should be like:

result_from_paper

Author

Taehoon Kim / @carpedm20