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Apr, 2018
针对对抗性输入的神经自动化论文评分和连贯性建模
Neural Automated Essay Scoring and Coherence Modeling for Adversarially Crafted Input
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Youmna Farag, Helen Yannakoudakis, Ted Briscoe
TL;DR
研究AES中的对手输入问题,提出了基于神经网络的局部连贯模型,与现有AES模型联合训练,实现了对对手输入的有效识别,从而提高了神经作文评分模型的准确性。
Abstract
We demonstrate that current state-of-the-art approaches to
automated essay scoring
(AES) are not well-suited to capturing adversarially crafted input of grammatical but incoherent sequences of sentences. We develop a
ne
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