An Interactive Web-Interface for Visualizing the Inner Workings of the Question Answering LSTM

Ekaterina Loginova, Günter Neumann


Abstract
We present a visualisation tool which aims to illuminate the inner workings of an LSTM model for question answering. It plots heatmaps of neurons’ firings and allows a user to check the dependency between neurons and manual features. The system possesses an interactive web-interface and can be adapted to other models and domains.
Anthology ID:
D18-2006
Volume:
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing: System Demonstrations
Month:
November
Year:
2018
Address:
Brussels, Belgium
Venue:
EMNLP
SIG:
SIGDAT
Publisher:
Association for Computational Linguistics
Note:
Pages:
30–35
Language:
URL:
https://www.aclweb.org/anthology/D18-2006
DOI:
10.18653/v1/D18-2006
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PDF:
http://aclanthology.lst.uni-saarland.de/D18-2006.pdf