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Semantics-Preserved Distortion for Personal Privacy Protection ...
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Head-driven Phrase Structure Parsing in O($n^3$) Time Complexity ...
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Multi-tasking Dialogue Comprehension with Discourse Parsing ...
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Smoothing Dialogue States for Open Conversational Machine Reading ...
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Dialogue Graph Modeling for Conversational Machine Reading ...
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Unsupervised Neural Machine Translation with Universal Grammar ...
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Abstract:
Anthology paper link: https://aclanthology.org/2021.emnlp-main.261/ Abstract: Machine translation usually relies on parallel corpora to provide parallel signals for training. The advent of unsupervised machine translation has brought machine translation away from this reliance, though performance still lags behind traditional supervised machine translation. In unsupervised machine translation, the model seeks symmetric language similarities as a source of weak parallel signal to achieve translation. Chomsky's Universal Grammar theory postulates that grammar is an innate form of knowledge to humans and is governed by universal principles and constraints. Therefore, in this paper, we seek to leverage such shared grammar clues to provide more explicit language parallel signals to enhance the training of unsupervised machine translation models. Through experiments on multiple typical language pairs, we demonstrate the effectiveness of our proposed approaches. ...
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Keyword:
Computational Linguistics; Machine Learning; Machine Learning and Data Mining; Machine translation; Natural Language Processing
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URL: https://dx.doi.org/10.48448/2hn8-ew57 https://underline.io/lecture/37486-unsupervised-neural-machine-translation-with-universal-grammar
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Seeking Common but Distinguishing Difference, A Joint Aspect-based Sentiment Analysis Model ...
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Enhancing Language Generation with Effective Checkpoints of Pre-trained Language Model ...
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Tracing Origins: Coreference-aware Machine Reading Comprehension ...
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Syntax-aware Data Augmentation for Neural Machine Translation ...
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Cross-lingual Supervision Improves Unsupervised Neural Machine Translation ...
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BURT: BERT-inspired Universal Representation from Learning Meaningful Segment ...
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Learning Universal Representations from Word to Sentence ...
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BURT: BERT-inspired Universal Representation from Twin Structure ...
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