@inproceedings{fb637ba448884a9cad84fd2f3b8b7fa8,
title = "The ntnu-yzu system in the aesw shared task: Automated evaluation of scientific writing using a convolutional neural network",
abstract = "This study describes the design of the NTNU-YZU system for the automated evaluation of scientific writing shared task. We employ a convolutional neural network with the Word2Vec/GloVe embedding representation to predict whether a sentence needs language editing. For the Boolean prediction track, our best F-score of 0.6108 ranked second among the ten submissions. Our system also achieved an F-score of 0.7419 for the probabilistic estimation track, ranking fourth among the nine submissions.",
author = "Lee, {Lung Hao} and Lin, {Bo Lin} and Yu, {Liang Chih} and Tseng, {Yuen Hsien}",
note = "Publisher Copyright: {\textcopyright} NAACL-HLT 2016. All rights reserved.; 11th Workshop on Innovative Use of NLP for Building Educational Applications, BEA 2016 at the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT 2016 ; Conference date: 16-06-2016",
year = "2016",
language = "English",
series = "Proceedings of the 11th Workshop on Innovative Use of NLP for Building Educational Applications, BEA 2016 at the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT 2016",
publisher = "Association for Computational Linguistics (ACL)",
pages = "122--129",
editor = "Joel Tetreault and Jill Burstein and Claudia Leacock and Helen Yannakoudakis",
booktitle = "Proceedings of the 11th Workshop on Innovative Use of NLP for Building Educational Applications, BEA 2016 at the 2016 Conference of the North American Chapter of the Association for Computational Linguistics",
}