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Quality Assurance of Generative Dialog Models in an Evolving Conversational Agent Used for Swedish Language Practice ...
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Slangvolution: A Causal Analysis of Semantic Change and Frequency Dynamics in Slang ...
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Similarity between person roles in a card sorting experiment ...
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SPT-Code: Sequence-to-Sequence Pre-Training for Learning Source Code Representations ...
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Ensemble of Opinion Dynamics Models to Understand the Role of the Undecided in the Vaccination Debate ...
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Generating Authentic Adversarial Examples beyond Meaning-preserving with Doubly Round-trip Translation ...
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Abstract:
Generating adversarial examples for Neural Machine Translation (NMT) with single Round-Trip Translation (RTT) has achieved promising results by releasing the meaning-preserving restriction. However, a potential pitfall for this approach is that we cannot decide whether the generated examples are adversarial to the target NMT model or the auxiliary backward one, as the reconstruction error through the RTT can be related to either. To remedy this problem, we propose a new criterion for NMT adversarial examples based on the Doubly Round-Trip Translation (DRTT). Specifically, apart from the source-target-source RTT, we also consider the target-source-target one, which is utilized to pick out the authentic adversarial examples for the target NMT model. Additionally, to enhance the robustness of the NMT model, we introduce the masked language models to construct bilingual adversarial pairs based on DRTT, which are used to train the NMT model directly. Extensive experiments on both the clean and noisy test sets ... : Accepted at NAACL 2022 as a long paper of main conference ...
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Keyword:
Computation and Language cs.CL; FOS Computer and information sciences
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URL: https://dx.doi.org/10.48550/arxiv.2204.08689 https://arxiv.org/abs/2204.08689
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Pirá: A Bilingual Portuguese-English Dataset for Question-Answering about the Ocean ...
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A comparative study of several parameterizations for speaker recognition ...
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A Neural Pairwise Ranking Model for Readability Assessment ...
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A bilingual approach to specialised adjectives through word embeddings in the karstology domain ...
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Speaker verification in mismatch training and testing conditions ...
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Universal Conditional Masked Language Pre-training for Neural Machine Translation ...
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SMDT: Selective Memory-Augmented Neural Document Translation ...
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Learning How to Translate North Korean through South Korean ...
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When do Contrastive Word Alignments Improve Many-to-many Neural Machine Translation? ...
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Conditional Bilingual Mutual Information Based Adaptive Training for Neural Machine Translation ...
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