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        <title>Manual Identification of Arguments with Implicit Conclusions Using Semantic Rules for Argument Mining</title>
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            <title>Proceedings of the 4th Workshop on Argument Mining</title>
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    <abstract>This paper describes a pilot study to evaluate human analysts’ ability to identify the argumentation scheme and premises of an argument having an implicit conclusion. In preparation for the study, argumentation scheme definitions were crafted for genetics research articles. The schemes were defined in semantic terms, following a proposal to use semantic rules to mine arguments in that literature.</abstract>
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%0 Conference Proceedings
%T Manual Identification of Arguments with Implicit Conclusions Using Semantic Rules for Argument Mining
%A Green, Nancy
%S Proceedings of the 4th Workshop on Argument Mining
%D 2017
%8 sep
%I Association for Computational Linguistics
%C Copenhagen, Denmark
%F green-2017-manual
%X This paper describes a pilot study to evaluate human analysts’ ability to identify the argumentation scheme and premises of an argument having an implicit conclusion. In preparation for the study, argumentation scheme definitions were crafted for genetics research articles. The schemes were defined in semantic terms, following a proposal to use semantic rules to mine arguments in that literature.
%R 10.18653/v1/W17-5109
%U https://aclanthology.org/W17-5109
%U https://doi.org/10.18653/v1/W17-5109
%P 73-78

Markdown (Informal)

[Manual Identification of Arguments with Implicit Conclusions Using Semantic Rules for Argument Mining](https://aclanthology.org/W17-5109) (Green, 2017)

• Manual Identification of Arguments with Implicit Conclusions Using Semantic Rules for Argument Mining (Green, 2017)

ACL

• Nancy Green. 2017. Manual Identification of Arguments with Implicit Conclusions Using Semantic Rules for Argument Mining. In Proceedings of the 4th Workshop on Argument Mining, pages 73–78, Copenhagen, Denmark. Association for Computational Linguistics.