The biases of pre-trained language models: An empirical study on prompt-based sentiment analysis and emotion detection R Mao, Q Liu, K He, W Li, E Cambria IEEE transactions on affective computing, 2022 | 117 | 2022 |
Meta-based self-training and re-weighting for aspect-based sentiment analysis K He, R Mao, T Gong, C Li, E Cambria IEEE Transactions on Affective Computing, 2022 | 61 | 2022 |
COPNER: Contrastive learning with prompt guiding for few-shot named entity recognition Y Huang, K He, Y Wang, X Zhang, T Gong, R Mao, C Li Proceedings of the 29th International conference on computational …, 2022 | 44 | 2022 |
A survey of large language models for healthcare: from data, technology, and applications to accountability and ethics K He, R Mao, Q Lin, Y Ruan, X Lan, M Feng, E Cambria arXiv preprint arXiv:2310.05694, 2023 | 41 | 2023 |
Virtual prompt pre-training for prototype-based few-shot relation extraction K He, Y Huang, R Mao, T Gong, C Li, E Cambria Expert Systems with Applications, 118927, 2023 | 29 | 2023 |
Understanding the patient perspective of epilepsy treatment through text mining of online patient support groups K He, N Hong, S Lapalme-Remis, Y Lan, M Huang, C Li, L Yao Epilepsy & Behavior 94, 65-71, 2019 | 29 | 2019 |
MetaPro Online:: A computational metaphor processing online system R Mao, X Li, H Kai, M Ge, E Cambria Proceedings of the 61st Annual Meeting of the Association for Computational …, 2023 | 23 | 2023 |
Construction of genealogical knowledge graphs from obituaries: Multitask neural network extraction system K He, L Yao, JW Zhang, Y Li, C Li Journal of medical Internet research 23 (8), e25670, 2021 | 19 | 2021 |
Implementation of National Health Informatization in China: survey about the status quo C Li, X Xu, G Zhou, K He, T Qi, W Zhang, F Tian, Q Zheng, J Hu JMIR medical informatics 7 (1), e12238, 2019 | 16 | 2019 |
Knowledge enhanced lstm for coreference resolution on biomedical texts Y Li, X Ma, X Zhou, P Cheng, K He, C Li Bioinformatics 37 (17), 2699-2705, 2021 | 14 | 2021 |
A survey on semantic processing techniques R Mao, K He, X Zhang, G Chen, J Ni, Z Yang, E Cambria Information Fusion 101, 101988, 2024 | 13 | 2024 |
Extracting kinship from obituary to enhance electronic health records for genetic research K He, J Wu, X Ma, C Zhang, M Huang, C Li, L Yao Proceedings of the Fourth social media mining for health applications …, 2019 | 13 | 2019 |
MEGACare: Knowledge-guided multi-view hypergraph predictive framework for healthcare J Wu, K He, R Mao, C Li, E Cambria Information Fusion 100, 101939, 2023 | 9 | 2023 |
Uncertainty-guided mutual consistency training for semi-supervised biomedical relation extraction B Mao, C Jia, Y Huang, K He, J Wu, T Gong, C Li 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2022 | 7 | 2022 |
Bert-based meta-learning approach with looking back for sentiment analysis of literary book reviews H Bao, K He, X Yin, X Li, X Bao, H Zhang, J Wu, Z Gao Natural Language Processing and Chinese Computing: 10th CCF International …, 2021 | 7 | 2021 |
Template-free prompting for few-shot named entity recognition via Semantic-Enhanced Contrastive Learning K He, R Mao, Y Huang, T Gong, C Li, E Cambria IEEE Transactions on Neural Networks and Learning Systems, 2023 | 6 | 2023 |
JCBIE: a joint continual learning neural network for biomedical information extraction K He, R Mao, T Gong, E Cambria, C Li BMC bioinformatics 23 (1), 549, 2022 | 6 | 2022 |
Knowledge enhanced coreference resolution via gated attention K He, B Mao, X Zhou, Y Li, T Gong, C Li, J Wu 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2022 | 5 | 2022 |
Neuro-Symbolic Sentiment Analysis with Dynamic Word Sense Disambiguation X Zhang, R Mao, K He, E Cambria The 2023 Conference on Empirical Methods in Natural Language Processing, 2023 | 2 | 2023 |
PROMISE: A pre-trained knowledge-infused multimodal representation learning framework for medication recommendation J Wu, X Yu, K He, Z Gao, T Gong Information Processing & Management 61 (4), 103758, 2024 | | 2024 |