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2018 ACL ACL 2018

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

Abstract

AbstractWe 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.

🌉 Interdisciplinary Bridge - Artificial Intelligence and Healthcare & Medicine and Natural Language Processing

Authors

Serena Jeblee, Mireille Gomes, Graeme Hirst

Topics

Machine Learning > Core Methods > Classification Machine Learning > Application Areas > Fairness Natural Language Processing > Applications > Text Classification Machine Learning > Learning Types > Multi-Task Learning Healthcare & Medicine > Clinical > Medical AI

Keywords

multi-task learning text classification cause-of-death classification verbal autopsy keyphrase prediction

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