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Update README.md

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  example_title: "example 1"
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  ---
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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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  example_title: "example 1"
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  ---
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+ This is a model to detect treatment and disease mentions in texts from health domains.
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+ 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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+
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  `<treatment> ( \S+){0,4} improve( \S+){0,4} <disease>`
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+
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  `<disease> requiring <treatment>`
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  and so on.