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This paper describes our approach of developing a deep learning system that works on irony detection tasks for English language tweets. The system is composed of multiple channels, where each channel is a convolutional neural network. We used four pre-trained embedding models to design our system, NC-ConvNets. Our system was evaluated on the testing sets of the tasks described in SemEval18 Task3 (Irony Detection in English Tweets) outperforming all the baseline and the state-of-the-art systems.
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