Multi-task learning for interpretable cause of death classification using key phrase prediction

WS 2018  ·  Serena Jeblee, Mireille Gomes, Graeme Hirst ·

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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