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Length-Adaptive Transformer: Train Once with Length Drop, Use Anytime with Search ...
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Monotonic Simultaneous Translation with Chunk-wise Reordering and Refinement ...
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Length-Adaptive Transformer: Train Once with Length Drop, Use Anytime with Search ...
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The Future is not One-dimensional: Complex Event Schema Induction by Graph Modeling for Event Prediction ...
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DEEP: DEnoising Entity Pre-training for Neural Machine Translation ...
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VisualSem: A High-quality Knowledge Graph for Vision and Language ...
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Learning to Learn Morphological Inflection for Resource-Poor Languages ...
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Improving Conversational Question Answering Systems after Deployment using Feedback-Weighted Learning ...
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AdapterHub: A Framework for Adapting Transformers
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Pfeiffer, Jonas; Ruckle, Andreas; Poth, Clifton. - : Association for Computational Linguistics, 2020. : Proceedings of the Conference on Empirical Methods in Natural Language Processing: System Demonstrations (EMNLP 2020), 2020
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Improved Zero-shot Neural Machine Translation via Ignoring Spurious Correlations ...
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Emergent Linguistic Phenomena in Multi-Agent Communication Games ...
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Insertion-based Decoding with Automatically Inferred Generation Order
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In: Transactions of the Association for Computational Linguistics, Vol 7, Pp 661-676 (2019) (2019)
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Meta-Learning for Low-Resource Neural Machine Translation ...
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Multi-lingual Common Semantic Space Construction via Cluster-consistent Word Embedding ...
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From Characters to Understanding Natural Language (C2NLU): Robust End-to-End Deep Learning for NLP (Dagstuhl Seminar 17042)
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