Mireille Gomes
2018
Multi-task learning for interpretable cause of death classification using key phrase prediction
Serena Jeblee
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Mireille Gomes
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Graeme Hirst
Proceedings of the BioNLP 2018 workshop
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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