Active learning for ontological event extraction incorporating named entity recognition and unknown word handling
Background: Biomedical text mining may target various kinds of valuable information embedded in the literature, but a critical obstacle to the extension of the mining targets is the cost of manual construction of labeled data, which are required for state-of-the-art supervised learning systems. Acti...
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| Main Authors: | , , |
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| 格式: | Article |
| 語言: | English |
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2016
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| 在線閱讀: | https://hdl.handle.net/10356/81505 http://hdl.handle.net/10220/40808 |
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