Self-adaptive fine-grained multi-modal data augmentation for semi-supervised muti-modal coreference resolution
Coreference resolution, an essential task in natural language processing, is particularly challenging in multi-modal scenarios where data comes in various forms and modalities. Despite advancements, limitations due to scarce labeled data and underleveraged unlabeled data persist. We address these is...
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| Main Authors: | , , , , , , |
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| Format: | text |
| Language: | English |
| Published: |
Institutional Knowledge at Singapore Management University
2024
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| Subjects: | |
| Online Access: | https://ink.library.smu.edu.sg/sis_research/9694 https://ink.library.smu.edu.sg/context/sis_research/article/10694/viewcontent/Self_Adaptive_Fine_grain.pdf |
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| Institution: | Singapore Management University |
| Language: | English |