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- W3154369042 abstract "This paper investigates incorporating quality knowledge sources developed by experts for the medical domain as well as syntactic information for classification of tweets into four different health oriented categories. We claim that resources such as the MeSH hierarchy and currently available parse information are effective extensions of moderately sized training datasets for various fine-grained tweet classification tasks of self-reported health issues." @default.
- W3154369042 created "2021-04-26" @default.
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- W3154369042 date "2021-04-01" @default.
- W3154369042 modified "2023-09-23" @default.
- W3154369042 title "Leveraging knowledge sources for detecting self-reports of particular health issues on social media" @default.
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