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Acquiring Knowledge from Pre-trained Model to Neural Machine Translation

Acquiring Knowledge from Pre-trained Model to Neural Machine Translation

AAAI Conference on Artificial Intelligence (AAAI), 2019
4 December 2019
Rongxiang Weng
Heng Yu
Shujian Huang
Shanbo Cheng
Weihua Luo
ArXiv (abs)PDFHTML

Papers citing "Acquiring Knowledge from Pre-trained Model to Neural Machine Translation"

35 / 35 papers shown
Tgea: An error-annotated dataset and benchmark tasks for text generation from pretrained language models
Tgea: An error-annotated dataset and benchmark tasks for text generation from pretrained language modelsAnnual Meeting of the Association for Computational Linguistics (ACL), 2025
Jie He
Bo Peng
Yi-Lun Liao
Qun Liu
Deyi Xiong
275
9
0
06 Mar 2025
Enhancing Low-Resource NMT with a Multilingual Encoder and Knowledge
  Distillation: A Case Study
Enhancing Low-Resource NMT with a Multilingual Encoder and Knowledge Distillation: A Case Study
Aniruddha Roy
Pretam Ray
Ayush Maheshwari
Sudeshna Sarkar
Pawan Goyal
361
7
0
09 Jul 2024
JobFormer: Skill-Aware Job Recommendation with Semantic-Enhanced
  Transformer
JobFormer: Skill-Aware Job Recommendation with Semantic-Enhanced Transformer
Zhihao Guan
Jia-Qi Yang
Yang Yang
Hengshu Zhu
Wenjie Li
Hui Xiong
206
10
0
05 Apr 2024
Leveraging Diverse Modeling Contexts with Collaborating Learning for
  Neural Machine Translation
Leveraging Diverse Modeling Contexts with Collaborating Learning for Neural Machine Translation
Yusheng Liao
Yanfeng Wang
Yu Wang
AI4CE
235
2
0
28 Feb 2024
Explainable AI in Diagnosing and Anticipating Leukemia Using Transfer
  Learning Method
Explainable AI in Diagnosing and Anticipating Leukemia Using Transfer Learning MethodComputational Intelligence and Neuroscience (CIN), 2022
Wahidul Hasan Abir
Md Fahim Uddin
Faria Rahman Khanam
Mohammad Monirujjaman Khan
155
59
0
01 Dec 2023
Integrating Pre-trained Language Model into Neural Machine Translation
Integrating Pre-trained Language Model into Neural Machine Translation
Soon-Jae Hwang
Chang-Sung Jeong
377
2
0
30 Oct 2023
Enhanced Simultaneous Machine Translation with Word-level Policies
Enhanced Simultaneous Machine Translation with Word-level PoliciesConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Kang Kim
Hankyu Cho
267
3
0
25 Oct 2023
Vesper: A Compact and Effective Pretrained Model for Speech Emotion
  Recognition
Vesper: A Compact and Effective Pretrained Model for Speech Emotion RecognitionIEEE Transactions on Affective Computing (IEEE Trans. Affective Comput.), 2023
Weidong Chen
Xiaofen Xing
Peihao Chen
Xiangmin Xu
VLM
340
74
0
20 Jul 2023
Understanding Multi-Turn Toxic Behaviors in Open-Domain Chatbots
Understanding Multi-Turn Toxic Behaviors in Open-Domain ChatbotsInternational Symposium on Recent Advances in Intrusion Detection (RAID), 2023
Bocheng Chen
Guangjing Wang
Hanqing Guo
Yuanda Wang
Qiben Yan
264
25
0
14 Jul 2023
Towards Accurate Translation via Semantically Appropriate Application of
  Lexical Constraints
Towards Accurate Translation via Semantically Appropriate Application of Lexical ConstraintsAnnual Meeting of the Association for Computational Linguistics (ACL), 2023
Yujin Baek
Ko-tik Lee
Dayeon Ki
Hyoung-Gyu Lee
Cheonbok Park
Jaegul Choo
326
5
0
21 Jun 2023
Towards General Purpose Medical AI: Continual Learning Medical
  Foundation Model
Towards General Purpose Medical AI: Continual Learning Medical Foundation Model
Huahui Yi
Ziyuan Qin
Qicheng Lao
Wei Xu
Zekun Jiang
Yi Xu
Shaoting Zhang
Kang Li
OODMedImCLL
276
16
0
12 Mar 2023
Training-free Lexical Backdoor Attacks on Language Models
Training-free Lexical Backdoor Attacks on Language ModelsThe Web Conference (WWW), 2023
Yujin Huang
Terry Yue Zhuo
Xingliang Yuan
Han Hu
Lizhen Qu
Chunyang Chen
SILM
313
55
0
08 Feb 2023
ProKD: An Unsupervised Prototypical Knowledge Distillation Network for
  Zero-Resource Cross-Lingual Named Entity Recognition
ProKD: An Unsupervised Prototypical Knowledge Distillation Network for Zero-Resource Cross-Lingual Named Entity RecognitionAAAI Conference on Artificial Intelligence (AAAI), 2023
Ling Ge
Chuming Hu
Guanghui Ma
Kuanqi Cai
Jihong Liu
211
7
0
21 Jan 2023
Towards a Holistic Understanding of Mathematical Questions with
  Contrastive Pre-training
Towards a Holistic Understanding of Mathematical Questions with Contrastive Pre-trainingAAAI Conference on Artificial Intelligence (AAAI), 2023
Yuting Ning
Zhenya Huang
Xin Lin
Enhong Chen
Shiwei Tong
Zheng Gong
Shijin Wang
AIMat
202
10
0
18 Jan 2023
The Effect of Normalization for Bi-directional Amharic-English Neural
  Machine Translation
The Effect of Normalization for Bi-directional Amharic-English Neural Machine TranslationEAI International Conference on ICT for Development for Africa (ICT4D), 2022
Tadesse Destaw Belay
A. Tonja
Olga Kolesnikova
Seid Muhie Yimam
Abinew Ali Ayele
Sileshi Bogale Haile
Grigori Sidorov
Alexander Gelbukh
CVBM
161
8
0
27 Oct 2022
Nebula-I: A General Framework for Collaboratively Training Deep Learning
  Models on Low-Bandwidth Cloud Clusters
Nebula-I: A General Framework for Collaboratively Training Deep Learning Models on Low-Bandwidth Cloud Clusters
Yang Xiang
Zhihua Wu
Weibao Gong
Siyu Ding
Xianjie Mo
...
Yue Yu
Ge Li
Yu Sun
Yanjun Ma
Dianhai Yu
291
5
0
19 May 2022
Bridging Cross-Lingual Gaps During Leveraging the Multilingual
  Sequence-to-Sequence Pretraining for Text Generation and Understanding
Bridging Cross-Lingual Gaps During Leveraging the Multilingual Sequence-to-Sequence Pretraining for Text Generation and Understanding
Changtong Zan
Liang Ding
Li Shen
Yu Cao
Weifeng Liu
Dacheng Tao
LRM
217
8
0
16 Apr 2022
Understanding and Improving Sequence-to-Sequence Pretraining for Neural
  Machine Translation
Understanding and Improving Sequence-to-Sequence Pretraining for Neural Machine TranslationAnnual Meeting of the Association for Computational Linguistics (ACL), 2022
Wenxuan Wang
Wenxiang Jiao
Yongchang Hao
Xing Wang
Shuming Shi
Zhaopeng Tu
Michael Lyu
AIMat
219
30
0
16 Mar 2022
Confidence Based Bidirectional Global Context Aware Training Framework
  for Neural Machine Translation
Confidence Based Bidirectional Global Context Aware Training Framework for Neural Machine TranslationAnnual Meeting of the Association for Computational Linguistics (ACL), 2022
Chulun Zhou
Fandong Meng
Jie Zhou
Hao Fei
Hongji Wang
Jinsong Su
234
20
0
28 Feb 2022
Prompt-Learning for Short Text Classification
Prompt-Learning for Short Text ClassificationIEEE Transactions on Knowledge and Data Engineering (TKDE), 2022
Yi Zhu
Xinke Zhou
Jipeng Qiang
Yun Li
Yunhao Yuan
Xindong Wu
VLM
341
58
0
23 Feb 2022
Recent Advances in Natural Language Processing via Large Pre-Trained
  Language Models: A Survey
Recent Advances in Natural Language Processing via Large Pre-Trained Language Models: A SurveyACM Computing Surveys (CSUR), 2021
Bonan Min
Hayley L Ross
Elior Sulem
Amir Pouran Ben Veyseh
Thien Huu Nguyen
Oscar Sainz
Eneko Agirre
Ilana Heinz
Dan Roth
LM&MAVLMAI4CE
531
1,463
0
01 Nov 2021
MSP: Multi-Stage Prompting for Making Pre-trained Language Models Better
  Translators
MSP: Multi-Stage Prompting for Making Pre-trained Language Models Better Translators
Zhixing Tan
Xiangwen Zhang
Shuo Wang
Yang Liu
VLMLRM
583
58
0
13 Oct 2021
Multilingual Translation via Grafting Pre-trained Language Models
Multilingual Translation via Grafting Pre-trained Language Models
Zewei Sun
Mingxuan Wang
Lei Li
AI4CE
507
22
0
11 Sep 2021
BERT, mBERT, or BiBERT? A Study on Contextualized Embeddings for Neural
  Machine Translation
BERT, mBERT, or BiBERT? A Study on Contextualized Embeddings for Neural Machine TranslationConference on Empirical Methods in Natural Language Processing (EMNLP), 2021
Haoran Xu
Benjamin Van Durme
Kenton W. Murray
341
75
0
09 Sep 2021
Improving Similar Language Translation With Transfer Learning
Improving Similar Language Translation With Transfer LearningConference on Machine Translation (WMT), 2021
Ife Adebara
Muhammad Abdul-Mageed
306
1
0
07 Aug 2021
AdvPicker: Effectively Leveraging Unlabeled Data via Adversarial
  Discriminator for Cross-Lingual NER
AdvPicker: Effectively Leveraging Unlabeled Data via Adversarial Discriminator for Cross-Lingual NERAnnual Meeting of the Association for Computational Linguistics (ACL), 2021
Weile Chen
Huiqiang Jiang
Qianhui Wu
Börje F. Karlsson
Yingjun Guan
332
38
0
04 Jun 2021
Representation Learning Beyond Linear Prediction Functions
Representation Learning Beyond Linear Prediction FunctionsNeural Information Processing Systems (NeurIPS), 2021
Ziping Xu
Ambuj Tewari
161
25
0
31 May 2021
Zero-shot Cross-lingual Transfer of Neural Machine Translation with
  Multilingual Pretrained Encoders
Zero-shot Cross-lingual Transfer of Neural Machine Translation with Multilingual Pretrained EncodersConference on Empirical Methods in Natural Language Processing (EMNLP), 2021
Guanhua Chen
Shuming Ma
Yun-Nung Chen
Li Dong
Dongdong Zhang
Jianxiong Pan
Wenping Wang
Furu Wei
211
41
0
18 Apr 2021
Better Neural Machine Translation by Extracting Linguistic Information
  from BERT
Better Neural Machine Translation by Extracting Linguistic Information from BERTConference of the European Chapter of the Association for Computational Linguistics (EACL), 2021
Hassan S. Shavarani
Anoop Sarkar
234
17
0
07 Apr 2021
BERT-JAM: Boosting BERT-Enhanced Neural Machine Translation with Joint
  Attention
BERT-JAM: Boosting BERT-Enhanced Neural Machine Translation with Joint Attention
Zhebin Zhang
Sai Wu
Dawei Jiang
Gang Chen
219
2
0
09 Nov 2020
Knowledge Distillation for BERT Unsupervised Domain Adaptation
Knowledge Distillation for BERT Unsupervised Domain Adaptation
Minho Ryu
K. Lee
339
42
0
22 Oct 2020
Incorporating BERT into Parallel Sequence Decoding with Adapters
Incorporating BERT into Parallel Sequence Decoding with Adapters
Junliang Guo
Zhirui Zhang
Linli Xu
Hao-Ran Wei
Boxing Chen
Enhong Chen
278
70
0
13 Oct 2020
Iterative Domain-Repaired Back-Translation
Iterative Domain-Repaired Back-TranslationConference on Empirical Methods in Natural Language Processing (EMNLP), 2020
Hao-Ran Wei
Zhirui Zhang
Boxing Chen
Weihua Luo
274
25
0
06 Oct 2020
On Learning Universal Representations Across Languages
On Learning Universal Representations Across LanguagesInternational Conference on Learning Representations (ICLR), 2020
Xiangpeng Wei
Rongxiang Weng
Yue Hu
Luxi Xing
Heng Yu
Weihua Luo
SSLVLM
513
92
0
31 Jul 2020
Encoder-Decoder Models Can Benefit from Pre-trained Masked Language
  Models in Grammatical Error Correction
Encoder-Decoder Models Can Benefit from Pre-trained Masked Language Models in Grammatical Error CorrectionAnnual Meeting of the Association for Computational Linguistics (ACL), 2020
Masahiro Kaneko
Masato Mita
Shun Kiyono
Jun Suzuki
Kentaro Inui
322
158
0
03 May 2020
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