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

Serena Jeblee; Mireille Gomes; Graeme Hirst

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 — Machine Learning and Natural Language Processing

🧭 Keyword Pioneer — cause-of-death classification

🐣 Hot Topic Early Bird — multi-task learning

🐝 Cross-Pollinator — Artificial Intelligence, Computer Vision, Data Science & Analytics, Deep Learning, Healthcare & Medicine, Interdisciplinary, Machine Learning, Mathematics & Optimization, Natural Language Processing, Reinforcement Learning, Robotics, Speech & Audio

Authors

Serena Jeblee , Mireille Gomes , Graeme Hirst

Topics

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

Keywords

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

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