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We present a word substitution approach to combine the output of different machine translation systems. Using part of speech information, candidate words are deter- mined among possible translation options, which …...

AbstractThe prior work on natural language inference (NLI) debiasing mainly targets at one or few known biases while not necessarily making the models more robust. In this paper, we focus …...

AbstractNeural network NLP models are vulnerable to small modifications of the input that maintain the original meaning but result in a different prediction. In this paper, we focus on robustness …...