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        <title>Marine Variable Linker: Exploring Relations between Changing Variables in Marine Science Literature</title>
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    <name type="personal">
        <namePart type="given">Erwin</namePart>
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        <namePart type="family">Pinar Øzturk</namePart>
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    <name type="personal">
        <namePart type="given">Murat</namePart>
        <namePart type="family">V. Ardelan</namePart>
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            <title>Proceedings of the Software Demonstrations of the 15th Conference of the European Chapter of the Association for Computational Linguistics</title>
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            <namePart type="given">André</namePart>
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                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
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        <name type="personal">
            <namePart type="given">Anselmo</namePart>
            <namePart type="family">Peñas</namePart>
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    <abstract>We report on a demonstration system for text mining of literature in marine science and related disciplines. It automatically extracts variables (“CO2”) involved in events of change/increase/decrease (“increasing CO2”), as well as co-occurrence and causal relations among these events (“increasing CO2 causes a decrease in pH in seawater”), resulting in a big knowledge graph. A web-based graphical user interface targeted at marine scientists facilitates searching, browsing and visualising events and their relations in an interactive way.</abstract>
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%0 Conference Proceedings
%T Marine Variable Linker: Exploring Relations between Changing Variables in Marine Science Literature
%A Marsi, Erwin
%A Pinar Øzturk, Pinar
%A V. Ardelan, Murat
%Y Martins, André
%Y Peñas, Anselmo
%S Proceedings of the Software Demonstrations of the 15th Conference of the European Chapter of the Association for Computational Linguistics
%D 2017
%8 April
%I Association for Computational Linguistics
%C Valencia, Spain
%F marsi-etal-2017-marine
%X We report on a demonstration system for text mining of literature in marine science and related disciplines. It automatically extracts variables (“CO2”) involved in events of change/increase/decrease (“increasing CO2”), as well as co-occurrence and causal relations among these events (“increasing CO2 causes a decrease in pH in seawater”), resulting in a big knowledge graph. A web-based graphical user interface targeted at marine scientists facilitates searching, browsing and visualising events and their relations in an interactive way.
%U https://aclanthology.org/E17-3023
%P 91-94

Markdown (Informal)

[Marine Variable Linker: Exploring Relations between Changing Variables in Marine Science Literature](https://aclanthology.org/E17-3023) (Marsi et al., EACL 2017)

• Marine Variable Linker: Exploring Relations between Changing Variables in Marine Science Literature (Marsi et al., EACL 2017)

ACL

• Erwin Marsi, Pinar Pinar Øzturk, and Murat V. Ardelan. 2017. Marine Variable Linker: Exploring Relations between Changing Variables in Marine Science Literature. In Proceedings of the Software Demonstrations of the 15th Conference of the European Chapter of the Association for Computational Linguistics, pages 91–94, Valencia, Spain. Association for Computational Linguistics.