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Keyphrase Generation with Fine-Grained Evaluation-Guided Reinforcement Learning ...
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Rethinking Zero-shot Neural Machine Translation: From a Perspective of Latent Variables ...
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Rethinking Zero-shot Neural Machine Translation: From a Perspective of Latent Variables ...
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Do Syntactic Probes Probe Syntax? Experiments with Jabberwocky Probing
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In: Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (2021)
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What About the Precedent: An Information-Theoretic Analysis of Common Law
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In: Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (2021)
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6 |
Finding Concept-specific Biases in Form–Meaning Associations
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In: Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (2021)
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A Non-Linear Structural Probe
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In: Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (2021)
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8 |
How (Non-)Optimal is the Lexicon?
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In: Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (2021)
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9 |
Backtranslation feedback improves user confidence in MT, not quality
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"The Boating Store Had Its Best Sail Ever": Pronunciation-attentive Contextualized Pun Recognition ...
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Don't Use English Dev: On the Zero-Shot Cross-Lingual Evaluation of Contextual Embeddings ...
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Unsupervised Bitext Mining and Translation via Self-trained Contextual Embeddings ...
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Dynamic Movement Primitive based Motion Retargeting for Dual-Arm Sign Language Motions ...
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Recommending Themes for Ad Creative Design via Visual-Linguistic Representations ...
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Adversarial Learning with Contextual Embeddings for Zero-resource Cross-lingual Classification and NER ...
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A neural interlingua for multilingual machine translation ...
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An Empirical Study of Word Embedding Dimensionality Reduction ...
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An Empirical Study of Word Embedding Dimensionality Reduction ...
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