This repository contains an implementation of the two models (the Deep LSTM and the Attentive Reader) described in Teaching Machines to Read and Comprehend by Karl Moritz Hermann and al., NIPS, 2015. This repository also contains an implementation of a Deep Bidirectional LSTM.
Models are implemented using Theano and Blocks. Datasets are implemented using Fuel.
The corresponding dataset is provided by DeepMind but if the script does not work you can check http://cs.nyu.edu/~kcho/DMQA/ by Kyunghyun Cho.
Teaching Machines to Read and Comprehend, by Karl Moritz Hermann, Tomáš Kočiský, Edward Grefenstette, Lasse Espeholt, Will Kay, Mustafa Suleyman and Phil Blunsom, Neural Information Processing Systems, 2015.