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        <title>Temporal information extraction from clinical text</title>
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        <namePart type="given">Julien</namePart>
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        <namePart type="given">Aurélie</namePart>
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            <namePart type="given">Mirella</namePart>
            <namePart type="family">Lapata</namePart>
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            <namePart type="given">Phil</namePart>
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            <namePart type="given">Alexander</namePart>
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    <abstract>In this paper, we present a method for temporal relation extraction from clinical narratives in French and in English. We experiment on two comparable corpora, the MERLOT corpus and the THYME corpus, and show that a common approach can be used for both languages.</abstract>
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%0 Conference Proceedings
%T Temporal information extraction from clinical text
%A Tourille, Julien
%A Ferret, Olivier
%A Tannier, Xavier
%A Névéol, Aurélie
%Y Lapata, Mirella
%Y Blunsom, Phil
%Y Koller, Alexander
%S Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers
%D 2017
%8 April
%I Association for Computational Linguistics
%C Valencia, Spain
%F tourille-etal-2017-temporal
%X In this paper, we present a method for temporal relation extraction from clinical narratives in French and in English. We experiment on two comparable corpora, the MERLOT corpus and the THYME corpus, and show that a common approach can be used for both languages.
%U https://aclanthology.org/E17-2117
%P 739-745

Markdown (Informal)

[Temporal information extraction from clinical text](https://aclanthology.org/E17-2117) (Tourille et al., EACL 2017)

• Temporal information extraction from clinical text (Tourille et al., EACL 2017)

ACL

• Julien Tourille, Olivier Ferret, Xavier Tannier, and Aurélie Névéol. 2017. Temporal information extraction from clinical text. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers, pages 739–745, Valencia, Spain. Association for Computational Linguistics.