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Lishuang Li

Showing results (1-10 of 36) with videos related to

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Journal of Biomedical Informatics|March 18, 2022
Temporal information extraction with the scalable cross-sentence context for electronic health recordsShiyi Zhao, Lishuang Li
Neural Networks : the Official Journal of the International Neural Network Society|May 8, 2023
PIPER: A logic-driven deep contrastive optimization pipeline for event temporal reasoningBeibei Zhang, Lishuang Li
IEEE/ACM Transactions on Computational Biology and Bioinformatics|September 6, 2018
Integrating Language Model and Reading Control Gate in BLSTM-CRF for Biomedical Named Entity RecognitionLishuang Li, Yuxin Jiang
IEEE/ACM Transactions on Computational Biology and Bioinformatics|September 6, 2018
Extracting Biomedical Events with Parallel Multi-Pooling Convolutional Neural NetworksLishuang Li, Yang Liu, Meiyue Qin
IEEE/ACM Transactions on Computational Biology and Bioinformatics|December 17, 2013
A two-phase bio-NER system based on integrated classifiers and multiagent strategyLishuang Li, Wenting Fan, Degen Huang
IEEE/ACM Transactions on Computational Biology and Bioinformatics|September 22, 2015
An Unsupervised Graph Based Continuous Word Representation Method for Biomedical Text MiningZhenchao Jiang, Lishuang Li, Degen Huang
Computational Biology and Chemistry|August 7, 2009
Two-phase biomedical named entity recognition using CRFsLishuang Li, Rongpeng Zhou, Degen Huang
Methods (San Diego, Calif.)|September 6, 2024
Biomedical event causal relation extraction with deep knowledge fusion and Roberta-based data augmentationLishuang Li, Yi Xiang, Jing Hao
IEEE Transactions on Computational Biology and Bioinformatics|April 13, 2026
A Multi-channel Knowledge-enhanced Model for Biomedical Relation ExtractionHongbin Lu, Lishuang Li, Jingyao Tang
IEEE Transactions on Computational Biology and Bioinformatics|August 14, 2025
Document-Level Biomedical Relation Extraction via Knowledge-Enhanced Graph and Dynamic Generative Adversarial NetworksLishuang Li, Jing Hao, Hongbin Lu, et al.
Pageof 4

Showing results (1-10 of 36) with videos related to

Sort By:
Pageof 4
Journal of Biomedical Informatics|March 18, 2022
Temporal information extraction with the scalable cross-sentence context for electronic health recordsShiyi Zhao, Lishuang Li
Neural Networks : the Official Journal of the International Neural Network Society|May 8, 2023
PIPER: A logic-driven deep contrastive optimization pipeline for event temporal reasoningBeibei Zhang, Lishuang Li
IEEE/ACM Transactions on Computational Biology and Bioinformatics|September 6, 2018
Integrating Language Model and Reading Control Gate in BLSTM-CRF for Biomedical Named Entity RecognitionLishuang Li, Yuxin Jiang
IEEE/ACM Transactions on Computational Biology and Bioinformatics|September 6, 2018
Extracting Biomedical Events with Parallel Multi-Pooling Convolutional Neural NetworksLishuang Li, Yang Liu, Meiyue Qin
IEEE/ACM Transactions on Computational Biology and Bioinformatics|December 17, 2013
A two-phase bio-NER system based on integrated classifiers and multiagent strategyLishuang Li, Wenting Fan, Degen Huang
IEEE/ACM Transactions on Computational Biology and Bioinformatics|September 22, 2015
An Unsupervised Graph Based Continuous Word Representation Method for Biomedical Text MiningZhenchao Jiang, Lishuang Li, Degen Huang
Computational Biology and Chemistry|August 7, 2009
Two-phase biomedical named entity recognition using CRFsLishuang Li, Rongpeng Zhou, Degen Huang
Methods (San Diego, Calif.)|September 6, 2024
Biomedical event causal relation extraction with deep knowledge fusion and Roberta-based data augmentationLishuang Li, Yi Xiang, Jing Hao
IEEE Transactions on Computational Biology and Bioinformatics|April 13, 2026
A Multi-channel Knowledge-enhanced Model for Biomedical Relation ExtractionHongbin Lu, Lishuang Li, Jingyao Tang
IEEE Transactions on Computational Biology and Bioinformatics|August 14, 2025
Document-Level Biomedical Relation Extraction via Knowledge-Enhanced Graph and Dynamic Generative Adversarial NetworksLishuang Li, Jing Hao, Hongbin Lu, et al.
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