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Extracting relevant information from physician-patient dialogues for automated clinical note taking
Serena Jeblee
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Faiza Khan Khattak
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Noah Crampton
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Muhammad Mamdani
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Frank Rudzicz
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Paper Details:
Month: November
Year: 2019
Location: Hong Kong
Venue:
EMNLP |
WS |
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URL
No Citations Yet
https://doi.org/10.18653/v1/D19-62
http://www.verilogue.com
https://www.youtube.com/watch?v=
https://www.youtube
https://dkpro.github.io/
http://evexdb.org/pmresources/
http://groups.inf.ed.ac.uk/ami/
https://bioportal.bioontology.org/
http://www.snomed.org/
https://www.nlm.nih.gov/research/
https://www.nlm.nih.gov/research/
https://github.com/g-deoliveira/
Field Of Study
Linguistic Trends
Embeddings
Ontologies
Task
Tagging
Named Entity Recognition
Information Extraction
Summarization
ASR
OCR
Approach
Topic Modeling
Dataset
Clinical Notes