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Enhancing the Mongolian Historical Document Recognition System with Multiple Knowledge-Based Strategies.

, , , and . ICONIP (2), volume 9490 of Lecture Notes in Computer Science, page 536-544. Springer, (2015)

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The Research on Mongolian Spoken Term Detection Based on Confusion Network., , , and . CCPR, volume 321 of Communications in Computer and Information Science, page 606-612. Springer, (2012)QuatSE: Spherical Linear Interpolation of Quaternion for Knowledge Graph Embeddings., , , and . NLPCC (1), volume 13551 of Lecture Notes in Computer Science, page 209-220. Springer, (2022)Incorporating Inner-word and Out-word Features for Mongolian Morphological Segmentation., , , , and . COLING, page 4638-4648. International Committee on Computational Linguistics, (2020)A Novel Approach to Improve the Mongolian Language Model Using Intermediate Characters., , , and . CCL, volume 10035 of Lecture Notes in Computer Science, page 103-113. (2016)Morphological Knowledge Guided Mongolian Constituent Parsing., , , , and . ICONIP (3), volume 11955 of Lecture Notes in Computer Science, page 363-375. Springer, (2019)A Multi-Scaled Receptive Field Learning Approach for Medical Image Segmentation., , , , and . ICASSP, page 1414-1418. IEEE, (2020)EpLSA: Synergy of Expert-prefix Mixtures and Task-Oriented Latent Space Adaptation for Diverse Generative Reasoning., , , , and . LREC/COLING, page 6216-6227. ELRA and ICCL, (2024)TransERR: Translation-based Knowledge Graph Embedding via Efficient Relation Rotation., , , and . LREC/COLING, page 16727-16737. ELRA and ICCL, (2024)UNetGAN: A Robust Speech Enhancement Approach in Time Domain for Extremely Low Signal-to-Noise Ratio Condition., , , , and . INTERSPEECH, page 1786-1790. ISCA, (2019)APOLLO: An Optimized Training Approach for Long-form Numerical Reasoning., , , , , and . LREC/COLING, page 1370-1382. ELRA and ICCL, (2024)