Multi-task learning for interpretable cause of death classification using key phrase prediction
We introduce a multi-task learning model for cause-of-death classification of verbal autopsy narratives that jointly learns to output interpretable key phrases. Adding these key phrases outperforms the baseline model and topic modeling features.
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General ClassificationMulti-Task LearningText ClassificationSimilar Papers 제목 키워드 기반
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