Low-resource name tagging learned with weakly labeled data
Name tagging in low-resource languages or domains suffers from inadequate training data. Existing work heavily relies on additional information, while leaving those noisy annotations unexplored that extensively exist on the web. In this paper, we propose a novel neural model for name tagging solely...
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Main Authors: | CAO, Yixin, HU, Zikun, CHUA, Tat-Seng, LIU, Zhiyuan, JI, Heng |
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Format: | text |
Language: | English |
Published: |
Institutional Knowledge at Singapore Management University
2019
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Online Access: | https://ink.library.smu.edu.sg/sis_research/7457 https://ink.library.smu.edu.sg/context/sis_research/article/8460/viewcontent/D19_1025.pdf |
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Institution: | Singapore Management University |
Language: | English |
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