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This repository contains a implementation of a Differentiable Neural Computer (DNC) with advancements for a more robust and
scalable usage in Question Answering. It is published on the MRQA workshop at the ACL 2018. In this repository the ADNC is applied to the
[20 bAbI QA tasks](https://research.fb.com/downloads/babi/) with [state-of-the-art results](#babi-results) adn the
scalable usage in Question Answering. It is published on the MRQA workshop at the ACL 2018. This advanced DNC (ADNC) is applied to the
[20 bAbI QA tasks](https://research.fb.com/downloads/babi/) with [state-of-the-art results](#babi-results) and the
[CNN Reading Comprehension Task](https://github.com/danqi/rc-cnn-dailymail) with
[passable results](#cnn-results) without any adaptation or hyper-parameter tuning.
@ -21,12 +21,6 @@ The repository contains the following features:
- The following advancements to the DNC:
<!--
This repository is the groundwork for the MRQA 2018
paper submission [Robust and Scalable Differentiable Neural Computer for Question Answering](https://arxiv.org/abs/1807.02658). It contains a modular and
fully configurable DNC with the following advancements: -->
<table>
<tbody>
<tr>
@ -70,10 +64,10 @@ fully configurable DNC with the following advancements: -->
</tbody>
</table>
Please find more information about the advancements and the experiemnts in
Please find more information about the advancements and the experiments in
- MRQA 2018 paper submission [Robust and Scalable Differentiable Neural Computer for Question Answering](https://arxiv.org/abs/1807.02658)
- Master thesis about the [Advanced DNC for Question Answering](http://isl.anthropomatik.kit.edu/cmu-kit/downloads/Master_Franke_2018.pdf)
- Master thesis about the [Advanced DNC for Question Answering](http://isl.anthropomatik.kit.edu/cmu-kit/downloads/Master_Franke_2018.pdf) with a detailed DNC description.
The plot below shows the impact of the different advancements in the word error rate with the bAbI task 1.
@ -173,4 +167,4 @@ Possible models are `dnc`, `adnc`, `biadnc` on bAbi Task 1 and `biadnc-all`, `bi
| Stanford AR | 72.2 | 72.4 |
| AoA Reader | 73.1 | 74.4 |
| ReasoNet | 72.9 | 74.7 |
| GA Reader | 77.9 | 77.9 |
| GA Reader | 77.9 | 77.9 |