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Meiyue Qin - IEEE Xplore Author Profile
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Meiyue Qin

Publications
2
Citations
46
Publications by Year
20162020
Co-Authors:
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Meiyue Qin

Affiliation

School of Computer Science and Technology
Dalian University of Technology
Dalian, China

Publication Topics

Biography

Meiyue Qin received the BSc degree from Inner Mongolia University in 2014. He is currently working toward the MSc degree in the School of Computer Science and Technology, Dalian University of technology. His research interests include text mining for biomedical literatures and information extraction from huge biomedical resources.(Based on document published on 7 September 2015).
Publications
2
Citations
46
Publications by Year
20162020
Co-Authors:
Author's Published Works

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Extracting Biomedical Events with Parallel Multi-Pooling Convolutional Neural Networks

Lishuang Li;Yang Liu;Meiyue Qin

IEEE/ACM Transactions on Computational Biology and Bioinformatics
Year: 2020 | Volume: 17, Issue: 2 | Journal Article |
Cited by: Papers (25)
Biomedical event extraction is important for medical research and disease prevention, which has attracted much attention in recent years. Traditionally, most of the state-of-the-art systems have been based on shallow machine learning methods, which require many complex, hand-designed features. In addition, the words encoded by one-hot are unable to represent semantic information. Therefore, we uti...Show More

Extracting Biomedical Events with Parallel Multi-Pooling Convolutional Neural Networks

Lishuang Li;Yang Liu;Meiyue Qin

Year: 2020 | Volume: 17, Issue: 2 | Journal Article |

Extracting Biomedical Event with Dual Decomposition Integrating Word Embeddings

Lishuang Li;Shanshan Liu;Meiyue Qin;Yiwen Wang;Degen Huang

IEEE/ACM Transactions on Computational Biology and Bioinformatics
Year: 2016 | Volume: 13, Issue: 4 | Journal Article |
Cited by: Papers (21)
Extracting biomedical event from literatures has attracted much attention recently. By now, most of the state-of-the-art systems have been based on pipelines which suffer from cascading errors, and the words encoded by one-hot are unable to represent the semantic information. Joint inference with dual decomposition and novel word embeddings are adopted to address the two problems, respectively, in...Show More

Extracting Biomedical Event with Dual Decomposition Integrating Word Embeddings

Lishuang Li;Shanshan Liu;Meiyue Qin;Yiwen Wang;Degen Huang

Year: 2016 | Volume: 13, Issue: 4 | Journal Article |

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