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        <title>Multi-task learning for interpretable cause of death classification using key phrase prediction</title>
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        <namePart type="given">Serena</namePart>
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        <namePart type="given">Mireille</namePart>
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        <namePart type="given">Graeme</namePart>
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            <title>Proceedings of the BioNLP 2018 workshop</title>
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            <namePart type="given">Dina</namePart>
            <namePart type="family">Demner-Fushman</namePart>
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            <namePart type="given">Kevin</namePart>
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            <namePart type="given">Junichi</namePart>
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    <abstract>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.</abstract>
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    <identifier type="doi">10.18653/v1/W18-2302</identifier>
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%0 Conference Proceedings
%T Multi-task learning for interpretable cause of death classification using key phrase prediction
%A Jeblee, Serena
%A Gomes, Mireille
%A Hirst, Graeme
%Y Demner-Fushman, Dina
%Y Cohen, Kevin Bretonnel
%Y Ananiadou, Sophia
%Y Tsujii, Junichi
%S Proceedings of the BioNLP 2018 workshop
%D 2018
%8 July
%I Association for Computational Linguistics
%C Melbourne, Australia
%F jeblee-etal-2018-multi
%X 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.
%R 10.18653/v1/W18-2302
%U https://aclanthology.org/W18-2302
%U https://doi.org/10.18653/v1/W18-2302
%P 12-17

Markdown (Informal)

[Multi-task learning for interpretable cause of death classification using key phrase prediction](https://aclanthology.org/W18-2302) (Jeblee et al., BioNLP 2018)

• Multi-task learning for interpretable cause of death classification using key phrase prediction (Jeblee et al., BioNLP 2018)

ACL

• Serena Jeblee, Mireille Gomes, and Graeme Hirst. 2018. Multi-task learning for interpretable cause of death classification using key phrase prediction. In Proceedings of the BioNLP 2018 workshop, pages 12–17, Melbourne, Australia. Association for Computational Linguistics.