Evaluating and Enhancing the Robustness of Neural Network-based Dependency Parsing Models with Adversarial Examples

ACL 2020 Xiaoqing ZhengJiehang ZengYi ZhouCho-Jui HsiehMinhao ChengXuanjing Huang

Despite achieving prominent performance on many important tasks, it has been reported that neural networks are vulnerable to adversarial examples. Previously studies along this line mainly focused on semantic tasks such as sentiment analysis, question answering and reading comprehension... (read more)

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