| Conclusion |
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| • | Co-training
model for web block classification |
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| • | Achieves 28.5%
reduction in error in main task |
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| • | However, fails in |
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| – | Detecting fine
grained classes |
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| → Exploit
templates, IE methods, path similarity and context |
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| – | Likely needs
enough unlabeled data |
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| → Re-run
using more experimental data |
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| – | Dependent on
learning model |
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| → Looking
to change learning package |
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