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Multi-granularity interaction model based on pinyins and radicals for Chinese semantic matching.

, , , , , , и . World Wide Web, 25 (4): 1703-1723 (2022)

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Xueping Qiu

Xueping Huang

Xiao-Wei Peng

Changgeng Peng

Martin Peng

 

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UTSP: User-Based Two-Step Recommendation With Popularity Normalization Towards Diversity and Novelty., , , , , и . IEEE Access, (2019)Chinese clinical named entity recognition based on stacked neural network., , , , , и . Concurr. Comput. Pract. Exp., (2021)Multi-granularity interaction model based on pinyins and radicals for Chinese semantic matching., , , , , , и . World Wide Web, 25 (4): 1703-1723 (2022)An empirical study of next-basket recommendations., , , , , и . CoRR, (2023)Medical Question Summarization with Entity-driven Contrastive Learning., , , , , и . CoRR, (2023)Aspect-Driven User Preference and News Representation Learning for News Recommendation., , , , , и . IEEE Trans. Intell. Transp. Syst., 23 (12): 25297-25307 (2022)News Recommendation Via Multi-Interest News Sequence Modelling., , , и . ICASSP, стр. 7942-7946. IEEE, (2022)BiteNet: Bidirectional Temporal Encoder Network to Predict Medical Outcomes., , , , , и . ICDM, стр. 412-421. IEEE, (2020)A multi-head self-attention deep learning approach for detection and recommendation of neuromagnetic high frequency oscillations in epilepsy., , , , , , , , , и 2 other автор(ы). Frontiers Neuroinformatics, (2022)Multi-level Transformer for Cancer Outcome Prediction in Large-Scale Claims Data., , , и . ADMA (3), том 14178 из Lecture Notes in Computer Science, стр. 63-78. Springer, (2023)