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        <title>Proposed Method for Annotation of Scientific Arguments in Terms of Semantic Relations and Argument Schemes</title>
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    <abstract>This paper presents a proposed method for annotation of scientific arguments in biological/biomedical journal articles. Semantic entities and relations are used to represent the propositional content of arguments in instances of argument schemes. We describe an experiment in which we encoded the arguments in a journal article to identify issues in this approach. Our catalogue of argument schemes and a copy of the annotated article are now publically available.</abstract>
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    <identifier type="doi">10.18653/v1/W18-5213</identifier>
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%0 Conference Proceedings
%T Proposed Method for Annotation of Scientific Arguments in Terms of Semantic Relations and Argument Schemes
%A Green, Nancy
%Y Slonim, Noam
%Y Aharonov, Ranit
%S Proceedings of the 5th Workshop on Argument Mining
%D 2018
%8 November
%I Association for Computational Linguistics
%C Brussels, Belgium
%F green-2018-proposed
%X This paper presents a proposed method for annotation of scientific arguments in biological/biomedical journal articles. Semantic entities and relations are used to represent the propositional content of arguments in instances of argument schemes. We describe an experiment in which we encoded the arguments in a journal article to identify issues in this approach. Our catalogue of argument schemes and a copy of the annotated article are now publically available.
%R 10.18653/v1/W18-5213
%U https://aclanthology.org/W18-5213
%U https://doi.org/10.18653/v1/W18-5213
%P 105-110

Markdown (Informal)

[Proposed Method for Annotation of Scientific Arguments in Terms of Semantic Relations and Argument Schemes](https://aclanthology.org/W18-5213) (Green, ArgMining 2018)

• Proposed Method for Annotation of Scientific Arguments in Terms of Semantic Relations and Argument Schemes (Green, ArgMining 2018)

ACL

• Nancy Green. 2018. Proposed Method for Annotation of Scientific Arguments in Terms of Semantic Relations and Argument Schemes. In Proceedings of the 5th Workshop on Argument Mining, pages 105–110, Brussels, Belgium. Association for Computational Linguistics.