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ORCID4th NGT 2020: Online
- Alexandra Birch, Andrew M. Finch, Hiroaki Hayashi, Kenneth Heafield, Marcin Junczys-Dowmunt, Ioannis Konstas, Xian Li, Graham Neubig, Yusuke Oda:
Proceedings of the Fourth Workshop on Neural Generation and Translation, NGT@ACL 2020, Online, July 5-10, 2020. Association for Computational Linguistics 2020, ISBN 978-1-952148-17-0 - Kenneth Heafield
, Hiroaki Hayashi, Yusuke Oda, Ioannis Konstas, Andrew M. Finch, Graham Neubig, Xian Li, Alexandra Birch:
Findings of the Fourth Workshop on Neural Generation and Translation. 1-9 - Kevin Lin, Ming-Yu Liu, Ming-Ting Sun, Jan Kautz:
Learning to Generate Multiple Style Transfer Outputs for an Input Sentence. 10-23 - Raj Dabre, Raphael Rubino, Atsushi Fujita:
Balancing Cost and Benefit with Tied-Multi Transformers. 24-34 - Alham Fikri Aji, Kenneth Heafield:
Compressing Neural Machine Translation Models with 4-bit Precision. 35-42 - Amr Sharaf, Hany Hassan, Hal Daumé III:
Meta-Learning for Few-Shot NMT Adaptation. 43-53 - Vadim Gudkov, Olga Mitrofanova, Elizaveta Filippskikh:
Automatically Ranked Russian Paraphrase Corpus for Text Generation. 54-59 - Zi-Yi Dou, Sachin Kumar, Yulia Tsvetkov:
A Deep Reinforced Model for Zero-Shot Cross-Lingual Summarization with Bilingual Semantic Similarity Rewards. 60-68 - Xiuyu Wu, Nan Jiang, Yunfang Wu:
A Question Type Driven and Copy Loss Enhanced Frameworkfor Answer-Agnostic Neural Question Generation. 69-78 - Anjalie Field, Sascha Rothe, Simon Baumgartner, Cong Yu, Abe Ittycheriah:
A Generative Approach to Titling and Clustering Wikipedia Sections. 79-87 - Marzieh Fadaee, Christof Monz:
The Unreasonable Volatility of Neural Machine Translation Models. 88-96 - Sebastian Borgeaud, Guy Emerson:
Leveraging Sentence Similarity in Natural Language Generation: Improving Beam Search using Range Voting. 97-109 - Mitchell A. Gordon, Kevin Duh:
Distill, Adapt, Distill: Training Small, In-Domain Models for Neural Machine Translation. 110-118 - Michael Yang, Yixin Liu, Rahul Mayuranath:
Training and Inference Methods for High-Coverage Neural Machine Translation. 119-128 - Tadashi Nomoto:
Meeting the 2020 Duolingo Challenge on a Shoestring. 129-133 - Masahiro Kaneko, Aizhan Imankulova, Tosho Hirasawa, Mamoru Komachi:
English-to-Japanese Diverse Translation by Combining Forward and Backward Outputs. 134-138 - Junsu Park, Hong-Seok Kwon, Jong-Hyeok Lee:
POSTECH Submission on Duolingo Shared Task. 139-143 - Rejwanul Haque, Yasmin Moslem, Andy Way:
The ADAPT System Description for the STAPLE 2020 English-to-Portuguese Translation Task. 144-152 - Jindrich Libovický, Zdenek Kasner, Jindrich Helcl, Ondrej Dusek:
Expand and Filter: CUNI and LMU Systems for the WNGT 2020 Duolingo Shared Task. 153-160 - Zhenhao Li, Marina Fomicheva, Lucia Specia:
Exploring Model Consensus to Generate Translation Paraphrases. 161-168 - El Moatez Billah Nagoudi, Muhammad Abdul-Mageed, Hasan Cavusoglu:
Growing Together: Modeling Human Language Learning With n-Best Multi-Checkpoint Machine Translation. 169-177 - Sweta Agrawal, Marine Carpuat:
Generating Diverse Translations via Weighted Fine-tuning and Hypotheses Filtering for the Duolingo STAPLE Task. 178-187 - Huda Khayrallah, Jacob Bremerman, Arya D. McCarthy, Kenton Murray, Winston Wu, Matt Post:
The JHU Submission to the 2020 Duolingo Shared Task on Simultaneous Translation and Paraphrase for Language Education. 188-197 - Rakesh Chada:
Simultaneous paraphrasing and translation by fine-tuning Transformer models. 198-203 - Chi Hu, Bei Li, Yinqiao Li, Ye Lin, Yanyang Li, Chenglong Wang, Tong Xiao, Jingbo Zhu:
The NiuTrans System for WNGT 2020 Efficiency Task. 204-210 - Guillaume Klein, Dakun Zhang, Clément Chouteau, Josep Maria Crego, Jean Senellart:
Efficient and High-Quality Neural Machine Translation with OpenNMT. 211-217 - Nikolay Bogoychev, Roman Grundkiewicz, Alham Fikri Aji, Maximiliana Behnke, Kenneth Heafield, Sidharth Kashyap, Emmanouil-Ioannis Farsarakis, Mateusz Chudyk:
Edinburgh's Submissions to the 2020 Machine Translation Efficiency Task. 218-224 - Sami ul Haq, Sadaf Abdul-Rauf, Arslan Shoukat, Noor-e-Hira:
Improving Document-Level Neural Machine Translation with Domain Adaptation. 225-231 - Stephen Mayhew, Klinton Bicknell, Chris Brust, Bill McDowell, Will Monroe, Burr Settles:
Simultaneous Translation and Paraphrase for Language Education. 232-243
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