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102 - Biomedical NLP research at the National Institute of Health with Dina Demner-Fushman

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Indhold leveret af NLP Highlights and Allen Institute for Artificial Intelligence. Alt podcastindhold inklusive episoder, grafik og podcastbeskrivelser uploades og leveres direkte af NLP Highlights and Allen Institute for Artificial Intelligence eller deres podcastplatformspartner. Hvis du mener, at nogen bruger dit ophavsretligt beskyttede værk uden din tilladelse, kan du følge processen beskrevet her https://da.player.fm/legal.
What exciting NLP research problems are involved in processing biomedical and clinical data? In this episode, we spoke with Dina Demner-Fushman, who leads NLP and IR research at the Lister Hill National Center for Biomedical Communications, part of the National Library of Medicine. We talked about processing biomedical scientific literature, understanding clinical notes, and answering consumer health questions, and the challenges involved in each of these applications. Dina listed some specific tasks and relevant data sources for NLP researchers interested in such applications, and concluded with some pointers to getting started in this field.
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145 episoder

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Manage episode 250908272 series 1452120
Indhold leveret af NLP Highlights and Allen Institute for Artificial Intelligence. Alt podcastindhold inklusive episoder, grafik og podcastbeskrivelser uploades og leveres direkte af NLP Highlights and Allen Institute for Artificial Intelligence eller deres podcastplatformspartner. Hvis du mener, at nogen bruger dit ophavsretligt beskyttede værk uden din tilladelse, kan du følge processen beskrevet her https://da.player.fm/legal.
What exciting NLP research problems are involved in processing biomedical and clinical data? In this episode, we spoke with Dina Demner-Fushman, who leads NLP and IR research at the Lister Hill National Center for Biomedical Communications, part of the National Library of Medicine. We talked about processing biomedical scientific literature, understanding clinical notes, and answering consumer health questions, and the challenges involved in each of these applications. Dina listed some specific tasks and relevant data sources for NLP researchers interested in such applications, and concluded with some pointers to getting started in this field.
  continue reading

145 episoder

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