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Simple Search
Hits 1 – 16 of 16
1
ESPADA
Arase, Yuki
;
Tsujii, Junichi
. - : Linguistic Data Consortium, 2021. : https://www.ldc.upenn.edu, 2021
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2
Trained BERT models for phrase alignment with the constrained tree edit distance algorithm ...
Arase, Yuki
;
Tsujii, Jun'ichi
. - : Zenodo, 2021
BASE
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3
Trained BERT models for phrase alignment with the constrained tree edit distance algorithm ...
Arase, Yuki
;
Tsujii, Jun'ichi
. - : Zenodo, 2021
BASE
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4
Green NLP panel ...
The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021
;
., Iryna
;
Arase, Yuki
. - : Underline Science Inc., 2021
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5
Definition Modelling for Appropriate Specificity ...
The 2021 Conference on Empirical Methods in Natural Language Processing 2021
;
Arase, Yuki
;
Huang, Han
. - : Underline Science Inc., 2021
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6
Distinct Label Representations for Few-Shot Text Classification ...
The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021
;
Arase, Yuki
;
Kajiwara, Tomoyuki
. - : Underline Science Inc., 2021
BASE
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7
Language-agnostic Representation from Multilingual Sentence Encoders for Cross-lingual Similarity Estimation ...
The 2021 Conference on Empirical Methods in Natural Language Processing 2021
;
Arase, Yuki
;
Kajiwara, Tomoyuki
. - : Underline Science Inc., 2021
BASE
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8
Distilling Word Meaning in Context from Pre-trained Language Models ...
The 2021 Conference on Empirical Methods in Natural Language Processing 2021
;
Arase, Yuki
;
Arase, Yuki
. - : Underline Science Inc., 2021
BASE
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9
ESPADA ...
Arase, Yuki
;
Tsujii, Junichi
. - : Linguistic Data Consortium, 2021
BASE
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10
A Corpus for English-Japanese Multimodal Neural Machine Translation with Comparable Sentences ...
Merritt, Andrew
;
Chu, Chenhui
;
Arase, Yuki
. - : arXiv, 2020
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11
Lexically Cohesive Neural Machine Translation with Copy Mechanism ...
Mishra, Vipul
;
Chu, Chenhui
;
Arase, Yuki
. - : arXiv, 2020
Abstract:
Lexically cohesive translations preserve consistency in word choices in document-level translation. We employ a copy mechanism into a context-aware neural machine translation model to allow copying words from previous translation outputs. Different from previous context-aware neural machine translation models that handle all the discourse phenomena implicitly, our model explicitly addresses the lexical cohesion problem by boosting the probabilities to output words consistently. We conduct experiments on Japanese to English translation using an evaluation dataset for discourse translation. The results showed that the proposed model significantly improved lexical cohesion compared to previous context-aware models. ...
Keyword:
Artificial Intelligence cs.AI
;
Computation and Language cs.CL
;
FOS Computer and information sciences
URL:
https://dx.doi.org/10.48550/arxiv.2010.05193
https://arxiv.org/abs/2010.05193
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12
Transfer fine-tuned BERT models by paraphrases ...
Arase, Yuki
;
Tsujii, Junichi
. - : Zenodo, 2019
BASE
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13
Transfer fine-tuned BERT models by paraphrases ...
Arase, Yuki
;
Tsujii, Junichi
. - : Zenodo, 2019
BASE
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14
Transfer Fine-Tuning: A BERT Case Study ...
Arase, Yuki
;
Tsujii, Junichi
. - : arXiv, 2019
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15
SPADE
Arase, Yuki
;
Tsujii, Junichi
. - : Linguistic Data Consortium, 2018. : https://www.ldc.upenn.edu, 2018
BASE
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16
SPADE ...
Arase, Yuki
;
Tsujii, Junichi
. - : Linguistic Data Consortium, 2018
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