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., Fandong (6)
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 (6)
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Hits 1 – 6 of 6
1
Marginal Utility Diminishes: Exploring the Minimum Knowledge for BERT Knowledge Distillation ...
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
;
., Fandong
;
Lin, Zheng
. - : Underline Science Inc., 2021
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2
Prevent the Language Model from being Overconfident in Neural Machine Translation ...
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
;
., Fandong
;
Liu, Yijin
. - : Underline Science Inc., 2021
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3
Modeling Bilingual Conversational Characteristics for Neural Chat Translation ...
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
;
., Fandong
;
Chen, Yufeng
. - : Underline Science Inc., 2021
BASE
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4
Selective Knowledge Distillation for Neural Machine Translation ...
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
;
., Fandong
;
Wang, Fusheng
. - : Underline Science Inc., 2021
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5
Target-oriented Fine-tuning for Zero-Resource Named Entity Recognition ...
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
;
., Fandong
;
Chen, Yufeng
. - : Underline Science Inc., 2021
BASE
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6
Exploring Dynamic Selection of Branch Expansion Orders for Code Generation ...
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
;
., Fandong
;
Huang, Degen
;
Jiang, Hui
;
Su, Jinsong
;
Wu, Qingqiang
;
Zhang, Biao
;
Zhou, Jie
;
Zhou, Chulun
. - : Underline Science Inc., 2021
Abstract:
Read paper: https://www.aclanthology.org/2021.acl-long.394 Abstract: Due to the great potential in facilitating software development, code generation has attracted increasing attention recently. Generally, dominant models are Seq2Tree models, which convert the input natural language description into a sequence of tree-construction actions corresponding to the pre-order traversal of an Abstract Syntax Tree (AST). However, such a traversal order may not be suitable for handling all multi-branch nodes. In this paper, we propose to equip the Seq2Tree model with a context-based Branch Selector, which is able to dynamically determine optimal expansion orders of branches for multi-branch nodes. Particularly, since the selection of expansion orders is a non-differentiable multi-step operation, we optimize the selector through reinforcement learning, and formulate the reward function as the difference of model losses obtained through different expansion orders. Experimental results and in-depth analysis on several ...
URL:
https://dx.doi.org/10.48448/s35r-p284
https://underline.io/lecture/25808-exploring-dynamic-selection-of-branch-expansion-orders-for-code-generation
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