Papers with downstream medical processing

1 papers
MedFilter: Improving Extraction of Task-relevant Utterances through Integration of Discourse Structure and Ontological Knowledge (2020.emnlp-main)

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Challenge: Identifying task-relevant utterances improves performance at downstream medical processing.
Approach: They propose a novel approach that uses task-oriented conversations to improve utterance classification over SOTA models.
Outcome: The proposed model improves on a corpus of 7,000 doctor-patient conversations on 7,000 patient conversations.

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