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Universiteit van Amsterdam (UvA) Institutional Repository UvA-DARE
Conference object . 2019
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Building argumentative adpositional trees

Towards a high-precision method for reconstructing arguments in natural language
descriptionPublicationkeyboard_double_arrow_right Conference object , Article 01 Jan 2019 Netherlands English
Authors: Gobbo, F.; Wagemans, J.H.M.;

handle: 11245.1/1cb73e02-3b78-4aab-b1a2-89e4cdf2f2fb

Building argumentative adpositional trees

Abstract

There is a need for a tool for reconstructing arguments that describes their linguistic elements with high precision and at the same time identifies their type. In this paper, we prepare the ground for developing such a tool by introducing the notion of ‘argumentative adpositional tree’. The notion is based on a combination of the linguistic representation framework of Constructive Adpositional Grammars (CxAdGrams) and the argument classification framework of the Periodic Table of Arguments (PTA).

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    popularity
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    influence
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green
Related to Research communities
Netherlands Research Portal