Multi-Task Transfer Learning for Weakly-Supervised Relation Extraction

Creating labeled training data for relation extraction is expensive. In this paper, we study relation extraction in a special weakly-supervised setting when we have only a few seed instances of the target relation type we want to extract but we also have a large amount of labeled instances of other...

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主要作者: JIANG, Jing
格式: text
語言:English
出版: Institutional Knowledge at Singapore Management University 2009
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在線閱讀:https://ink.library.smu.edu.sg/sis_research/352
https://ink.library.smu.edu.sg/context/sis_research/article/1351/viewcontent/P09_1114.pdf
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