Attentive Reader

Impatient Reader

A two layer Deep LSTM Reader

consists of 3 parts.
1. Attentive Reader
2. Impatient Reader
3. A two layer Deep LSTM Reader with the question encoded before the documents.

State University of New York at Stony Brook

Better datasets and tasks to evaluate the capabilities of machine reading models are needed. 
Proceed by describing a number of baselines, benchmarks and new models to evaluate against this paradigm.

For the reading comprehension task, the paper used 2 simple base line models, 2 symbolic matching models, and 4 RNN models.

Models

Hermann, K. M., Kocisky, T., Grefenstette, E., Espeholt, L., Kay, W., Suleyman, M., & Blunsom, P. (2015). Teaching machines to read and comprehend. Advances in neural information processing systems, 28, 1693-1701.
https://arxiv.org/abs/1506.03340v3

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