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        <title>RST-Tace A tool for automatic comparison and evaluation of RST trees</title>
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            <title>Proceedings of the Workshop on Discourse Relation Parsing and Treebanking 2019</title>
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        <name type="personal">
            <namePart type="given">Amir</namePart>
            <namePart type="family">Zeldes</namePart>
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        <name type="personal">
            <namePart type="given">Debopam</namePart>
            <namePart type="family">Das</namePart>
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                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
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        <name type="personal">
            <namePart type="given">Erick</namePart>
            <namePart type="given">Maziero</namePart>
            <namePart type="family">Galani</namePart>
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            <namePart type="given">Juliano</namePart>
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            <namePart type="given">Mikel</namePart>
            <namePart type="family">Iruskieta</namePart>
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    <abstract>This paper presents RST-Tace, a tool for automatic comparison and evaluation of RST trees. RST-Tace serves as an implementation of Iruskieta’s comparison method, which allows trees to be compared and evaluated without the influence of decisions at lower levels in a tree in terms of four factors: constituent, attachment point, nuclearity as well as relation. RST-Tace can be used regardless of the language or the size of rhetorical trees. This tool aims to measure the agreement between two annotators. The result is reflected by F-measure and inter-annotator agreement. Both the comparison table and the result of the evaluation can be obtained automatically.</abstract>
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%0 Conference Proceedings
%T RST-Tace A tool for automatic comparison and evaluation of RST trees
%A Wan, Shujun
%A Kutschbach, Tino
%A Lüdeling, Anke
%A Stede, Manfred
%Y Zeldes, Amir
%Y Das, Debopam
%Y Galani, Erick Maziero
%Y Antonio, Juliano Desiderato
%Y Iruskieta, Mikel
%S Proceedings of the Workshop on Discourse Relation Parsing and Treebanking 2019
%D 2019
%8 June
%I Association for Computational Linguistics
%C Minneapolis, MN
%F wan-etal-2019-rst
%X This paper presents RST-Tace, a tool for automatic comparison and evaluation of RST trees. RST-Tace serves as an implementation of Iruskieta’s comparison method, which allows trees to be compared and evaluated without the influence of decisions at lower levels in a tree in terms of four factors: constituent, attachment point, nuclearity as well as relation. RST-Tace can be used regardless of the language or the size of rhetorical trees. This tool aims to measure the agreement between two annotators. The result is reflected by F-measure and inter-annotator agreement. Both the comparison table and the result of the evaluation can be obtained automatically.
%R 10.18653/v1/W19-2712
%U https://aclanthology.org/W19-2712
%U https://doi.org/10.18653/v1/W19-2712
%P 88-96

Markdown (Informal)

[RST-Tace A tool for automatic comparison and evaluation of RST trees](https://aclanthology.org/W19-2712) (Wan et al., NAACL 2019)

• RST-Tace A tool for automatic comparison and evaluation of RST trees (Wan et al., NAACL 2019)

ACL

• Shujun Wan, Tino Kutschbach, Anke Lüdeling, and Manfred Stede. 2019. RST-Tace A tool for automatic comparison and evaluation of RST trees. In Proceedings of the Workshop on Discourse Relation Parsing and Treebanking 2019, pages 88–96, Minneapolis, MN. Association for Computational Linguistics.