A decision tree for annotating argumentation scheme corpora

John Lawrence; Jacky Visser; Douglas Walton; Chris Reed

A decision tree for annotating argumentation scheme corpora

John Lawrence
, Jacky Visser
, Douglas Walton
, Chris Reed

Computing

Research output: Contribution to conference › Paper › peer-review

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Abstract

Quantitative approaches, necessary for e.g. computationallinguistic methods such as argument mining, require large annotated corpora of argumentative discourse. Publicly available corpora of argumentation schemes often only cover a small selection of example schemes and suffer from low
inter-annotator agreement. To address this, we present a heuristic decision tree for the classification of Walton's toplevel taxonomy of 60 schemes. An annotation study on 505 arguments resulted in a 97% classification covering 38 schemes (Cohen’s κ 0.723).

Original language	English
Pages	97-114
Publication status	Published - 2020
Event	3rd European Conference on Argumentation: Reason to Dissent - University of Groningen, Groningen, Netherlands Duration: 24 Jun 2019 → 27 Feb 2021 http://ecargument.org

Conference

Conference	3rd European Conference on Argumentation
Country/Territory	Netherlands
City	Groningen
Period	24/06/19 → 27/02/21
Internet address	http://ecargument.org

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title = "A decision tree for annotating argumentation scheme corpora",

abstract = "Quantitative approaches, necessary for e.g. computationallinguistic methods such as argument mining, require large annotated corpora of argumentative discourse. Publicly available corpora of argumentation schemes often only cover a small selection of example schemes and suffer from low inter-annotator agreement. To address this, we present a heuristic decision tree for the classification of Walton's toplevel taxonomy of 60 schemes. An annotation study on 505 arguments resulted in a 97\% classification covering 38 schemes (Cohen{\textquoteright}s κ 0.723). ",

author = "John Lawrence and Jacky Visser and Douglas Walton and Chris Reed",

year = "2020",

language = "English",

pages = "97--114",

note = "3rd European Conference on Argumentation : Reason to Dissent ; Conference date: 24-06-2019 Through 27-02-2021",

url = "http://ecargument.org",

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TY - CONF

T1 - A decision tree for annotating argumentation scheme corpora

AU - Lawrence, John

AU - Visser, Jacky

AU - Walton, Douglas

AU - Reed, Chris

PY - 2020

Y1 - 2020

N2 - Quantitative approaches, necessary for e.g. computationallinguistic methods such as argument mining, require large annotated corpora of argumentative discourse. Publicly available corpora of argumentation schemes often only cover a small selection of example schemes and suffer from low inter-annotator agreement. To address this, we present a heuristic decision tree for the classification of Walton's toplevel taxonomy of 60 schemes. An annotation study on 505 arguments resulted in a 97% classification covering 38 schemes (Cohen’s κ 0.723).

AB - Quantitative approaches, necessary for e.g. computationallinguistic methods such as argument mining, require large annotated corpora of argumentative discourse. Publicly available corpora of argumentation schemes often only cover a small selection of example schemes and suffer from low inter-annotator agreement. To address this, we present a heuristic decision tree for the classification of Walton's toplevel taxonomy of 60 schemes. An annotation study on 505 arguments resulted in a 97% classification covering 38 schemes (Cohen’s κ 0.723).

UR - http://ecargument.org/

M3 - Paper

SP - 97

EP - 114

T2 - 3rd European Conference on Argumentation

Y2 - 24 June 2019 through 27 February 2021

ER -

A decision tree for annotating argumentation scheme corpora

Abstract

Conference

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