On Recognizing Argumentation Schemes in Formal Text Genres

UNCG Author/Contributor (non-UNCG co-authors, if there are any, appear on document)
Nancy L. Green, Associate Professor (Creator)
The University of North Carolina at Greensboro (UNCG )
Web Site: http://library.uncg.edu/

Abstract: Argumentation mining research should address the challenge of recognition of argumentation schemes in formal text genres such as scientific articles. This paper argues that identification of argumentation schemes differs from identification of other aspects of discourse such as argumentative zones and coherence relations. Argumentation schemes can be defined at a level of abstraction applicable across the natural sciences. There are useful applications of automatic argumentation scheme recognition. However, it is likely that inference-based techniques will be required.(Note: Due to a publishing error, only the abstract of the paper appeared in the published Seminar Report at http://dx.doi.org/10.4230/DagRep.6.4.80)

Additional Information

Language: English
Date: 2018
argumentation schemes

Email this document to