Transparent text quality assessment with convolutional neural networks

no code implementations • WS 2017 • Robert {\"O}stling, Gintare Grigonyte

We present a very simple model for text quality assessment based on a deep convolutional neural network, where the only supervision required is one corpus of user-generated text of varying quality, and one contrasting text corpus of consistently high quality.

Feature Engineering Multi-Task Learning +1