Haiyue Song

According to our database, Haiyue Song authored at least 21 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Enhancing Personality Recognition in Dialogue by Data Augmentation and Heterogeneous Conversational Graph Networks.

Yahui Fu, Haiyue Song, Tianyu Zhao, Tatsuya Kawahara

CoRR, 2024

2023

SelfSeg: A Self-supervised Sub-word Segmentation Method for Neural Machine Translation.

Haiyue Song, Raj Dabre, Chenhui Chu, Sadao Kurohashi, Eiichiro Sumita

ACM Trans. Asian Low Resour. Lang. Inf. Process., August, 2023

Spatial Hierarchical Attention Network Based Video-guided Machine Translation.

Weiqi Gu, Haiyue Song, Chenhui Chu, Sadao Kurohashi

J. Inf. Process., 2023

Bilingual Corpus Mining and Multistage Fine-Tuning for Improving Machine Translation of Lecture Transcripts.

Haiyue Song, Raj Dabre, Chenhui Chu, Atsushi Fujita, Sadao Kurohashi

CoRR, 2023

Variable-length Neural Interlingua Representations for Zero-shot Neural Machine Translation.

Zhuoyuan Mao, Haiyue Song, Raj Dabre, Chenhui Chu, Sadao Kurohashi

CoRR, 2023

GPT-RE: In-context Learning for Relation Extraction using Large Language Models.

Zhen Wan, Fei Cheng, Zhuoyuan Mao, Qianying Liu, Haiyue Song, Jiwei Li, Sadao Kurohashi

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Relation Extraction with Weighted Contrastive Pre-training on Distant Supervision.

Zhen Wan, Fei Cheng, Qianying Liu, Zhuoyuan Mao, Haiyue Song, Sadao Kurohashi

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023

Exploring the Impact of Layer Normalization for Zero-shot Neural Machine Translation.

Zhuoyuan Mao, Raj Dabre, Qianying Liu, Haiyue Song, Chenhui Chu, Sadao Kurohashi

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023

2022

When do Contrastive Word Alignments Improve Many-to-many Neural Machine Translation?

Zhuoyuan Mao, Chenhui Chu, Raj Dabre, Haiyue Song, Zhen Wan, Sadao Kurohashi

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

BERTSeg: BERT Based Unsupervised Subword Segmentation for Neural Machine Translation.

Haiyue Song, Raj Dabre, Zhuoyuan Mao, Chenhui Chu, Sadao Kurohashi

Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing, 2022

2021

Video-guided Machine Translation with Spatial Hierarchical Attention Network.

Weiqi Gu, Haiyue Song, Chenhui Chu, Sadao Kurohashi

Proceedings of the ACL-IJCNLP 2021 Student Research Workshop, 2021

2020

Pre-training via Leveraging Assisting Languages and Data Selection for Neural Machine Translation.

Haiyue Song, Raj Dabre, Zhuoyuan Mao, Fei Cheng, Sadao Kurohashi, Eiichiro Sumita

CoRR, 2020

Coursera Corpus Mining and Multistage Fine-Tuning for Improving Lectures Translation.

Haiyue Song, Raj Dabre, Atsushi Fujita, Sadao Kurohashi

Proceedings of The 12th Language Resources and Evaluation Conference, 2020

JASS: Japanese-specific Sequence to Sequence Pre-training for Neural Machine Translation.

Zhuoyuan Mao, Fabien Cromierès, Raj Dabre, Haiyue Song, Sadao Kurohashi

Proceedings of The 12th Language Resources and Evaluation Conference, 2020

A System for Worldwide COVID-19 Information Aggregation.

Akiko Aizawa, Frédéric Bergéron, Junjie Chen, Fei Cheng, Katsuhiko Hayashi, Kentaro Inui, Hiroyoshi Ito, Daisuke Kawahara, Masaru Kitsuregawa, Hirokazu Kiyomaru, Masaki Kobayashi, Takashi Kodama, Sadao Kurohashi, Qianying Liu, Masaki Matsubara, Yusuke Miyao, Atsuyuki Morishima, Yugo Murawaki, Kazumasa Omura, Haiyue Song, Eiichiro Sumita, Shinji Suzuki, Ribeka Tanaka, Yu Tanaka, Masashi Toyoda, Nobuhiro Ueda, Honai Ueoka, Masao Utiyama, Ying Zhong

Proceedings of the 1st Workshop on NLP for COVID-19@ EMNLP 2020, Online, December 2020, 2020

Pre-training via Leveraging Assisting Languages for Neural Machine Translation.

Haiyue Song, Raj Dabre, Zhuoyuan Mao, Fei Cheng, Sadao Kurohashi, Eiichiro Sumita

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop, 2020

2019

Energy-Efficient and Quality-Assured Approximate Computing Framework Using a Co-Training Method.

Li Jiang, Zhuoran Song, Haiyue Song, Chengwen Xu, Qiang Xu, Naifeng Jing, Weifeng Zhang, Xiaoyao Liang

ACM Trans. Design Autom. Electr. Syst., 2019

2018

Invocation-driven neural approximate computing with a multiclass-classifier and multiple approximators.

Haiyue Song, Chengwen Xu, Qiang Xu, Zhuoran Song, Naifeng Jing, Xiaoyao Liang, Li Jiang

Proceedings of the International Conference on Computer-Aided Design, 2018

A FPGA Friendly Approximate Computing Framework with Hybrid Neural Networks: (Abstract Only).

Haiyue Song, Xiang Song, Tianjian Li, Hao Dong, Naifeng Jing, Xiaoyao Liang, Li Jiang

Proceedings of the 2018 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, 2018

2016

Sparse Signal Reconstruction Based on Time-Frequency Manifold for Rolling Element Bearing Fault Signature Enhancement.

Qingbo He, Haiyue Song, Xiaoxi Ding

IEEE Trans. Instrum. Meas., 2016

2013

Learning Domain-Specific Ontologies from the Web.

Wenkai Mo, Peng Wang, Haiyue Song, Jianyu Zhao, Xiang Zhang

Proceedings of the Linked Data and Knowledge Graph, 2013