Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Deep neural networks have achieved remarkable results across many language processing tasks, hover these methods are highly sensitive to noise and adversarial attacks.  present a regularization based method for limiting network sensitivity to its inputs, inspired by ideas from computer vision, thus learning models that are more robust. Empirical evaluation over a range of sentiment datasets with a convolutional neural network shows that, compared to a baseline model and the dropout method, our method achieves superior performance over noisy inputs and out-of-domain data.
['Yitong Li', 'Trevor Cohn', 'Timothy Baldwin']
I am writing a research paper on a idea Learning Robust Representations of Text
[{"from": "human", "value": "I am writing a research paper on a idea Learning Robust Representations of Text"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Deep neural networks have achieved remarkable results across many language processing tasks, hover these methods are highly sensitive to noise and adversarial attacks.  present a regularization based method for limiting network sensitivity to its inputs, inspired by ideas from computer vision, thus learning models that are more robust. Empirical evaluation over a range of sentiment datasets with a convolutional neural network shows that, compared to a baseline model and the dropout method, our method achieves superior performance over noisy inputs and out-of-domain data."}]