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Haiyue Song
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2020 – today
- 2024
- [j5]Haiyue Song, Raj Dabre, Chenhui Chu, Atsushi Fujita, Sadao Kurohashi:
Bilingual Corpus Mining and Multistage Fine-tuning for Improving Machine Translation of Lecture Transcripts. J. Inf. Process. 32: 628-640 (2024) - [c16]Raj Dabre, Haiyue Song, Miriam Exel, Bianka Buschbeck, Johannes Eschbach-Dymanus, Hideki Tanaka:
How Effective is Synthetic Data and Instruction Fine-tuning for Translation with Markup using LLMs? AMTA (1) 2024: 73-87 - [c15]Francois Meyer, Haiyue Song, Abhisek Chakrabarty, Jan Buys, Raj Dabre, Hideki Tanaka:
NGLUEni: Benchmarking and Adapting Pretrained Language Models for Nguni Languages. LREC/COLING 2024: 12247-12258 - [c14]Haiyue Song, Francois Meyer, Raj Dabre, Hideki Tanaka, Chenhui Chu, Sadao Kurohashi:
SubMerge: Merging Equivalent Subword Tokenizations for Subword Regularized Models in Neural Machine Translation. EAMT (1) 2024: 147-163 - [i15]Yahui Fu, Haiyue Song, Tianyu Zhao, Tatsuya Kawahara:
Enhancing Personality Recognition in Dialogue by Data Augmentation and Heterogeneous Conversational Graph Networks. CoRR abs/2401.05871 (2024) - [i14]David Romero, Chenyang Lyu, Haryo Akbarianto Wibowo, Teresa Lynn, Injy Hamed, Aditya Nanda Kishore, Aishik Mandal, Alina Dragonetti, Artem Abzaliev, Atnafu Lambebo Tonja, Bontu Fufa Balcha, Chenxi Whitehouse, Christian Salamea, Dan John Velasco, David Ifeoluwa Adelani, David Le Meur, Emilio Villa-Cueva, Fajri Koto, Fauzan Farooqui, Frederico Belcavello, Ganzorig Batnasan, Gisela Vallejo, Grainne Caulfield, Guido Ivetta, Haiyue Song, Henok Biadglign Ademtew, Hernán Maina, Holy Lovenia, Israel Abebe Azime, Jan Christian Blaise Cruz, Jay P. Gala, Jiahui Geng, Jesús-Germán Ortiz-Barajas, Jinheon Baek, Jocelyn Dunstan, Laura Alonso Alemany, Kumaranage Ravindu Yasas Nagasinghe, Luciana Benotti, Luis Fernando D'Haro, Marcelo Viridiano, Marcos Estecha-Garitagoitia, Maria Camila Buitrago Cabrera, Mario Rodríguez-Cantelar, Mélanie Jouitteau, Mihail Mihaylov, Mohamed Fazli Mohamed Imam, Muhammad Farid Adilazuarda, Munkhjargal Gochoo, Munkh-Erdene Otgonbold, Naome A. Etori, Olivier Niyomugisha, Paula Mónica Silva, Pranjal A. Chitale, Raj Dabre, Rendi Chevi, Ruochen Zhang, Ryandito Diandaru, Samuel Cahyawijaya, Santiago Góngora, Soyeong Jeong, Sukannya Purkayastha, Tatsuki Kuribayashi, Thanmay Jayakumar, Tiago Timponi Torrent, Toqeer Ehsan, Vladimir Araujo, Yova Kementchedjhieva, Zara Burzo, Zheng Wei Lim, Zheng Xin Yong, Oana Ignat, Joan Nwatu, Rada Mihalcea, Thamar Solorio, Alham Fikri Aji:
CVQA: Culturally-diverse Multilingual Visual Question Answering Benchmark. CoRR abs/2406.05967 (2024) - [i13]Aditya Joshi, Diptesh Kanojia, Heather C. Lent, Hour Kaing, Haiyue Song:
Connecting Ideas in 'Lower-Resource' Scenarios: NLP for National Varieties, Creoles and Other Low-resource Scenarios. CoRR abs/2409.12683 (2024) - 2023
- [j4]Weiqi Gu, Haiyue Song, Chenhui Chu, Sadao Kurohashi:
Spatial Hierarchical Attention Network Based Video-guided Machine Translation. J. Inf. Process. 31: 299-307 (2023) - [j3]Haiyue Song
, Raj Dabre
SelfSeg: A Self-supervised Sub-word Segmentation Method for Neural Machine Translation. ACM Trans. Asian Low Resour. Lang. Inf. Process. 22(8): 215:1-215:24 (2023) - [c13]Zhuoyuan Mao, Raj Dabre, Qianying Liu, Haiyue Song, Chenhui Chu, Sadao Kurohashi:
Exploring the Impact of Layer Normalization for Zero-shot Neural Machine Translation. ACL (2) 2023: 1300-1316 - [c12]Zhen Wan, Fei Cheng
Relation Extraction with Weighted Contrastive Pre-training on Distant Supervision. EACL (Findings) 2023: 2535-2540 - [c11]Zhen Wan, Fei Cheng
GPT-RE: In-context Learning for Relation Extraction using Large Language Models. EMNLP 2023: 3534-3547 - [i12]Zhen Wan, Fei Cheng, Zhuoyuan Mao
GPT-RE: In-context Learning for Relation Extraction using Large Language Models. CoRR abs/2305.02105 (2023) - [i11]Zhuoyuan Mao, Raj Dabre, Qianying Liu, Haiyue Song, Chenhui Chu, Sadao Kurohashi:
Exploring the Impact of Layer Normalization for Zero-shot Neural Machine Translation. CoRR abs/2305.09312 (2023) - [i10]Zhuoyuan Mao, Haiyue Song, Raj Dabre, Chenhui Chu, Sadao Kurohashi:
Variable-length Neural Interlingua Representations for Zero-shot Neural Machine Translation. CoRR abs/2305.10190 (2023) - [i9]Haiyue Song, Raj Dabre, Chenhui Chu, Sadao Kurohashi, Eiichiro Sumita:
SelfSeg: A Self-supervised Sub-word Segmentation Method for Neural Machine Translation. CoRR abs/2307.16400 (2023) - [i8]Haiyue Song, Raj Dabre, Chenhui Chu, Atsushi Fujita, Sadao Kurohashi:
Bilingual Corpus Mining and Multistage Fine-Tuning for Improving Machine Translation of Lecture Transcripts. CoRR abs/2311.03696 (2023) - 2022
- [c10]Haiyue Song, Raj Dabre, Zhuoyuan Mao, Chenhui Chu, Sadao Kurohashi:
BERTSeg: BERT Based Unsupervised Subword Segmentation for Neural Machine Translation. AACL/IJCNLP (2) 2022: 85-94 - [c9]Zhuoyuan Mao, Chenhui Chu, Raj Dabre, Haiyue Song, Zhen Wan, Sadao Kurohashi:
When do Contrastive Word Alignments Improve Many-to-many Neural Machine Translation? NAACL-HLT (Findings) 2022: 1766-1775 - [i7]Zhuoyuan Mao
When do Contrastive Word Alignments Improve Many-to-many Neural Machine Translation? CoRR abs/2204.12165 (2022) - [i6]Zhen Wan, Fei Cheng, Qianying Liu, Zhuoyuan Mao
Relation Extraction with Weighted Contrastive Pre-training on Distant Supervision. CoRR abs/2205.08770 (2022) - 2021
- [c8]Weiqi Gu, Haiyue Song, Chenhui Chu, Sadao Kurohashi:
Video-guided Machine Translation with Spatial Hierarchical Attention Network. ACL (student) 2021: 87-92 - 2020
- [c7]Haiyue Song, Raj Dabre, Zhuoyuan Mao, Fei Cheng
Pre-training via Leveraging Assisting Languages for Neural Machine Translation. ACL (student) 2020: 279-285 - [c6]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:
A System for Worldwide COVID-19 Information Aggregation. NLP4COVID@EMNLP 2020 - [c5]Haiyue Song, Raj Dabre, Atsushi Fujita, Sadao Kurohashi:
Coursera Corpus Mining and Multistage Fine-Tuning for Improving Lectures Translation. LREC 2020: 3640-3649 - [c4]Zhuoyuan Mao, Fabien Cromierès, Raj Dabre, Haiyue Song, Sadao Kurohashi:
JASS: Japanese-specific Sequence to Sequence Pre-training for Neural Machine Translation. LREC 2020: 3683-3691 - [i5]Haiyue Song, Raj Dabre, Zhuoyuan Mao, Fei Cheng, Sadao Kurohashi, Eiichiro Sumita:
Pre-training via Leveraging Assisting Languages and Data Selection for Neural Machine Translation. CoRR abs/2001.08353 (2020) - [i4]Zhuoyuan Mao, Fabien Cromierès, Raj Dabre, Haiyue Song, Sadao Kurohashi:
JASS: Japanese-specific Sequence to Sequence Pre-training for Neural Machine Translation. CoRR abs/2005.03361 (2020) - [i3]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:
A System for Worldwide COVID-19 Information Aggregation. CoRR abs/2008.01523 (2020)
2010 – 2019
- 2019
- [j2]Li Jiang, Zhuoran Song, Haiyue Song, Chengwen Xu, Qiang Xu
Energy-Efficient and Quality-Assured Approximate Computing Framework Using a Co-Training Method. ACM Trans. Design Autom. Electr. Syst. 24(6): 59:1-59:25 (2019) - [i2]Haiyue Song, Raj Dabre, Atsushi Fujita, Sadao Kurohashi:
Coursera Corpus Mining and Multistage Fine-Tuning for Improving Lectures Translation. CoRR abs/1912.11739 (2019) - 2018
- [c3]Haiyue Song, Xiang Song, Tianjian Li, Hao Dong, Naifeng Jing, Xiaoyao Liang, Li Jiang:
A FPGA Friendly Approximate Computing Framework with Hybrid Neural Networks: (Abstract Only). FPGA 2018: 286 - [c2]Haiyue Song, Chengwen Xu, Qiang Xu
Invocation-driven neural approximate computing with a multiclass-classifier and multiple approximators. ICCAD 2018: 50 - [i1]Haiyue Song, Chengwen Xu, Qiang Xu, Zhuoran Song, Naifeng Jing, Xiaoyao Liang, Li Jiang:
Invocation-driven Neural Approximate Computing with a Multiclass-Classifier and Multiple Approximators. CoRR abs/1810.08379 (2018) - 2016
- [j1]Qingbo He
Sparse Signal Reconstruction Based on Time-Frequency Manifold for Rolling Element Bearing Fault Signature Enhancement. IEEE Trans. Instrum. Meas. 65(2): 482-491 (2016) - 2013
- [c1]Wenkai Mo, Peng Wang, Haiyue Song, Jianyu Zhao, Xiang Zhang:
Learning Domain-Specific Ontologies from the Web. CSWS 2013: 132-146
Coauthor Index
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last updated on 2024-10-18 19:28 CEST by the dblp team
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