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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
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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
;
Kajiwara, Tomoyuki
. - : Underline Science Inc., 2021
Abstract:
Anthology paper link: https://aclanthology.org/2021.emnlp-main.194/ Abstract: Definition generation techniques aim to generate a definition of a target word or phrase given a context. In previous studies, researchers have faced various issues such as the out-of-vocabulary problem and over/under-specificity problems. Over-specific definitions present narrow word meanings, whereas under-specific definitions present general and context-insensitive meanings. Herein, we propose a method for definition generation with appropriate specificity. The proposed method addresses the aforementioned problems by leveraging a pre-trained encoder-decoder model, namely Text-to-Text Transfer Transformer, and introducing a re-ranking mechanism to model specificity in definitions. Experimental results on standard evaluation datasets indicate that our method significantly outperforms the previous state-of-the-art method. Moreover, manual evaluation confirms that our method effectively addresses the over/under-specificity problems. ...
Keyword:
Computational Linguistics
;
Machine Learning
;
Machine Learning and Data Mining
;
Natural Language Processing
URL:
https://underline.io/lecture/37374-definition-modelling-for-appropriate-specificity
https://dx.doi.org/10.48448/4nae-d163
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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
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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
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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
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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
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