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A3ea3bc5dde6ae2dd6eae71da9c418b0?s=128

MARUYAMA

tmaru0204
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vampire.pdf
A3ea3bc5dde6ae2dd6eae71da9c418b0?s=48 tmaru0204
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Misspelling_Oblivious_Word_Embedding.pdf
A3ea3bc5dde6ae2dd6eae71da9c418b0?s=48 tmaru0204
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Simple_Unsupervised_Summarization_by_Contextual_Matching.pdf
A3ea3bc5dde6ae2dd6eae71da9c418b0?s=48 tmaru0204
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Controlling_Text_Complexity_in_Neural_Machine_Translation.pdf
A3ea3bc5dde6ae2dd6eae71da9c418b0?s=48 tmaru0204
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20191028_literature-review.pdf
A3ea3bc5dde6ae2dd6eae71da9c418b0?s=48 tmaru0204
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Hint-Based_Training_for_Non-Autoregressive_Machine_Translation.pdf
A3ea3bc5dde6ae2dd6eae71da9c418b0?s=48 tmaru0204
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Soft_Contextual_Data_Augmentation_for_Neural_Machine_Translation_.pdf
A3ea3bc5dde6ae2dd6eae71da9c418b0?s=48 tmaru0204
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An_Embarrassingly_Simple_Approach_for_Transfer_Learning_from_Pretrained_Language_Models_.pdf
A3ea3bc5dde6ae2dd6eae71da9c418b0?s=48 tmaru0204
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Addressing_Trobulesome_Words_in_Neural_Machine_Translation.pdf
A3ea3bc5dde6ae2dd6eae71da9c418b0?s=48 tmaru0204
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Simple_Unsupervised_Keyphrase_Extraction_using_Sentence_Embeddings.pdf
A3ea3bc5dde6ae2dd6eae71da9c418b0?s=48 tmaru0204
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Extract_and_Edit_An_Alternative_to_Back-Translation_for_Unsupervised_Neural_Machine_Translation.pdf
A3ea3bc5dde6ae2dd6eae71da9c418b0?s=48 tmaru0204
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Dynamic_Data_Selection_for_Neural_Machine_Translation.pdf
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NLP2019_report.pdf
A3ea3bc5dde6ae2dd6eae71da9c418b0?s=48 tmaru0204
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Back-Translation_Sampling_by_Targeting_Difficult_Words_in_Neural_Machine_Translation.pdf
A3ea3bc5dde6ae2dd6eae71da9c418b0?s=48 tmaru0204
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Understanding_Back-Translation_at_scale.pdf
A3ea3bc5dde6ae2dd6eae71da9c418b0?s=48 tmaru0204
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Integrating_Transformer_and_Paraphrase_Rules_for_Sentence_Simplification_.pdf
A3ea3bc5dde6ae2dd6eae71da9c418b0?s=48 tmaru0204
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Don_t_Give_Me_the_Details_Just_the_Summary__Topic-Aware_Convolutional_Neural_Networks_for_Extreme_Summarization.pdf
A3ea3bc5dde6ae2dd6eae71da9c418b0?s=48 tmaru0204
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BLEU_is_Not_Suitable_for_the_Evaluation_of_Text_Simplification.pdf
A3ea3bc5dde6ae2dd6eae71da9c418b0?s=48 tmaru0204
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