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https://link.springer.com/chapter/10.1007/978-3-319-91464-0_30 ## Background ## This paper proposes an AES system using deep learning and the state of the art in automatic linguistic analysis (SALAT on top of Stanford CoreNLP). It is trained on ASAP's D8 and a pool of 1463 writing features. Using an ensemble technique and assessing the performance on a validation and testing set, we obtained a "record" QWK of 0.80 on D8. So far, only the holistic scores of essays are predicted. ## Resources - https://www.coursera.org/learn/ml-regression - https://www.linguisticanalysistools.org/ - https://www.coursera.org/learn/deep-neural-network - https://www.pyimagesearch.com/deep-learning-computer-vision-python-book/
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