[en] This paper describes a long-term research goal which aims at creating a middleware interface between Argumentation Schemes and natural language. This idea comes from the need to face some challenges related to the automatic extraction of Argumentation Schemes from Nat- ural Language: for example the ability to extract Argumentation Schemes at different level of granularity. In the paper we describe how this process can be designed and how the structures of Argumentation Schemes can be modeled to this aim.
Disciplines :
Computer science
Author, co-author :
LIGA, Davide ; University of Luxembourg > Faculty of Science, Technology and Medecine (FSTM)
Palmirani, Monica
External co-authors :
yes
Language :
English
Title :
Argumentation Schemes as Templates? Combining Bottom-up and Top-down Knowledge Representation
Publication date :
2020
Event name :
Workshop on Computational Models of Natural Argument
Event date :
08-09-2020
Audience :
International
Main work title :
Proceedings of the 20th Workshop on Computational Models of Natural Argument
Publisher :
56
Pages :
51
Peer reviewed :
Peer reviewed
Focus Area :
Computational Sciences
Commentary :
Proceedings of the 20th Workshop on Computational Models of Natural Argument
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