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Rule-based Morphological Inflection Improves Neural Terminology Translation ...
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Rule-based Morphological Inflection Improves Neural Terminology Translation ...
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Soft Layer Selection with Meta-Learning for Zero-Shot Cross-Lingual Transfer ...
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Soft Layer Selection with Meta-Learning for Zero-Shot Cross-Lingual Transfer ...
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Improving Multilingual Neural Machine Translation with Auxiliary Source Languages ...
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How Does Distilled Data Complexity Impact the Quality and Confidence of Non-Autoregressive Machine Translation? ...
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How Does Distilled Data Complexity Impact the Quality and Confidence of Non-Autoregressive Machine Translation? ...
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EDITOR: an Edit-Based Transformer with Repositioning for Neural Machine Translation with Soft Lexical Constraints ...
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A Non-Autoregressive Edit-Based Approach to Controllable Text Simplification ...
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End-to-End Slot Alignment and Recognition for Cross-Lingual NLU ...
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Abstract:
Natural language understanding (NLU) in the context of goal-oriented dialog systems typically includes intent classification and slot labeling tasks. Existing methods to expand an NLU system to new languages use machine translation with slot label projection from source to the translated utterances, and thus are sensitive to projection errors. In this work, we propose a novel end-to-end model that learns to align and predict target slot labels jointly for cross-lingual transfer. We introduce MultiATIS++, a new multilingual NLU corpus that extends the Multilingual ATIS corpus to nine languages across four language families, and evaluate our method using the corpus. Results show that our method outperforms a simple label projection method using fast-align on most languages, and achieves competitive performance to the more complex, state-of-the-art projection method with only half of the training time. We release our MultiATIS++ corpus to the community to continue future research on cross-lingual NLU. ... : Accepted at EMNLP 2020 ...
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Keyword:
Computation and Language cs.CL; FOS Computer and information sciences; Machine Learning cs.LG
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URL: https://arxiv.org/abs/2004.14353 https://dx.doi.org/10.48550/arxiv.2004.14353
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EDITOR: an Edit-Based Transformer with Repositioning for Neural Machine Translation with Soft Lexical Constraints ...
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