Abstract
In order to build robust automatic abstracting systems, there is a need for better training resources than are currently available. In this paper, we introduce an annotation scheme for scientific articles which can be used to build such a resource in a consistent way. The seven categories of the scheme are based on rhetorical moves of argumentation. Our experimental results show that the scheme is stable, reproducible and intuitive to use.
Cite
CITATION STYLE
Teufel, S., Carletta, J., & Moens, M. (1999). An annotation scheme for discourse-level argumentation in research articles. In 9th Conference of the European Chapter of the Association for Computational Linguistics, EACL 1999 (pp. 110–117). Association for Computational Linguistics (ACL). https://doi.org/10.3115/977035.977051
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