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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
BASE
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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
;
Onizuka, Makoto
;
Tiyajamorn, Nattapong
. - : Underline Science Inc., 2021
Abstract:
Anthology paper link: https://aclanthology.org/2021.emnlp-main.612/ Abstract: We propose a method to distil language-agnostic meaning embedding using a multilingual sentence encoder. By removing language-specific information from the original embedding, we retrieve an embedding that fully represents the meaning of the sentence. The proposed method relies only on parallel corpora without any human annotations. Our meaning embedding allows for efficient cross-lingual sentence similarity estimation using a simple cosine similarity calculation. Experimental results of both the quality estimation of machine translation and cross-lingual semantic textual similarity tasks reveal that our method consistently outperforms the strong baselines using the original multilingual embeddings. The method also consistently improves the performance of any pre-trained multilingual sentence encoder, even in low-resource language pairs, where only tens of thousands of parallel sentence pairs are available. ...
Keyword:
Computational Linguistics
;
Machine Learning
;
Machine Learning and Data Mining
;
Natural Language Processing
URL:
https://underline.io/lecture/37510-language-agnostic-representation-from-multilingual-sentence-encoders-for-cross-lingual-similarity-estimation
https://dx.doi.org/10.48448/9fqx-z240
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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
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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
BASE
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11
Lexically Cohesive Neural Machine Translation with Copy Mechanism ...
Mishra, Vipul
;
Chu, Chenhui
;
Arase, Yuki
. - : arXiv, 2020
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12
Transfer fine-tuned BERT models by paraphrases ...
Arase, Yuki
;
Tsujii, Junichi
. - : Zenodo, 2019
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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
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16
SPADE ...
Arase, Yuki
;
Tsujii, Junichi
. - : Linguistic Data Consortium, 2018
BASE
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