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example_title: "example 1"
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This is a model to detect treatment and disease mentions
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Overall
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precision|recall|f1
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0.92|0.95|0.93
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example_title: "example 1"
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This is a model to detect treatment and disease mentions in texts from health domains. The dataset used for training consists of PubMed's abstracts and tweets with disease mentions. It has been semi-automatically labeled using a system of regex rules for matching treatment and disease mentions, for example
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`<treatment> (good|great) (for|to|in) <disease>`
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`<treatment> ( \S+){0,4} improve( \S+){0,4} <disease>`
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`<disease> requiring <treatment>`
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and so on.
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precision|recall|f1
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0.92|0.95|0.93
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