An Online Annotation Assistant for Argument Schemes

John Lawrence; Jacky Visser; Chris Reed

doi:10.18653/v1/W19-4012

An Online Annotation Assistant for Argument Schemes

John Lawrence, Jacky Visser, Chris Reed

Computing

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

17 Citations (Scopus)

216 Downloads (Pure)

Abstract

Understanding the inferential principles underpinning an argument is essential to the proper interpretation and evaluation of persuasive discourse. Argument schemes capture the conventional patterns of reasoning appealed to in persuasion. The empirical study of these patterns relies on the availability of data about the actual use of argumentation in communicative practice. Annotated corpora of argument schemes, however, are scarce, small, and unrepresentative. Aiming to address this issue, we present one step in the development of improved datasets by integrating the Argument Scheme Key – a novel annotation method based on one of the most popular typologies of argument schemes – into the widely used OVA software for argument analysis.

Original language	English
Title of host publication	Proceedings of the 13th Linguistic Annotation Workshop
Editors	Annemarie Friedrich, Deniz Zeyrek, Jet Hoek
Place of Publication	Florence, Italy
Publisher	Association for Computational Linguistics
Pages	100-107
Number of pages	8
DOIs	https://doi.org/10.18653/v1/W19-4012
Publication status	Published - Aug 2019
Event	Proceedings of the 13th Linguistic Annotation Workshop - Florence, Italy Duration: 1 Aug 2019 → 1 Aug 2019

Conference

Conference	Proceedings of the 13th Linguistic Annotation Workshop
Period	1/08/19 → 1/08/19

Access to Document

10.18653/v1/W19-4012Licence: CC BY

Final Published VersionFinal published version, 1.22 MBLicence: CC BY

https://www.aclweb.org/anthology/W19-4012

Argument Mining
Reed, C. (Investigator)
Engineering and Physical Sciences Research Council
1/01/16 → 31/12/19
Project: Research

Cite this

@inproceedings{f22c593a9ad44326b462bd0952b419bd,

title = "An Online Annotation Assistant for Argument Schemes",

abstract = "Understanding the inferential principles underpinning an argument is essential to the proper interpretation and evaluation of persuasive discourse. Argument schemes capture the conventional patterns of reasoning appealed to in persuasion. The empirical study of these patterns relies on the availability of data about the actual use of argumentation in communicative practice. Annotated corpora of argument schemes, however, are scarce, small, and unrepresentative. Aiming to address this issue, we present one step in the development of improved datasets by integrating the Argument Scheme Key – a novel annotation method based on one of the most popular typologies of argument schemes – into the widely used OVA software for argument analysis.",

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

year = "2019",

month = aug,

doi = "10.18653/v1/W19-4012",

language = "English",

pages = "100--107",

editor = "Annemarie Friedrich and Deniz Zeyrek and Jet Hoek",

booktitle = "Proceedings of the 13th Linguistic Annotation Workshop",

publisher = "Association for Computational Linguistics",

note = "Proceedings of the 13th Linguistic Annotation Workshop ; Conference date: 01-08-2019 Through 01-08-2019",

}

An Online Annotation Assistant for Argument Schemes. / Lawrence, John ; Visser, Jacky ; Reed, Chris.
Proceedings of the 13th Linguistic Annotation Workshop. ed. / Annemarie Friedrich; Deniz Zeyrek; Jet Hoek. Florence, Italy: Association for Computational Linguistics, 2019. p. 100-107.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - An Online Annotation Assistant for Argument Schemes

AU - Lawrence, John

AU - Visser, Jacky

AU - Reed, Chris

PY - 2019/8

Y1 - 2019/8

N2 - Understanding the inferential principles underpinning an argument is essential to the proper interpretation and evaluation of persuasive discourse. Argument schemes capture the conventional patterns of reasoning appealed to in persuasion. The empirical study of these patterns relies on the availability of data about the actual use of argumentation in communicative practice. Annotated corpora of argument schemes, however, are scarce, small, and unrepresentative. Aiming to address this issue, we present one step in the development of improved datasets by integrating the Argument Scheme Key – a novel annotation method based on one of the most popular typologies of argument schemes – into the widely used OVA software for argument analysis.

AB - Understanding the inferential principles underpinning an argument is essential to the proper interpretation and evaluation of persuasive discourse. Argument schemes capture the conventional patterns of reasoning appealed to in persuasion. The empirical study of these patterns relies on the availability of data about the actual use of argumentation in communicative practice. Annotated corpora of argument schemes, however, are scarce, small, and unrepresentative. Aiming to address this issue, we present one step in the development of improved datasets by integrating the Argument Scheme Key – a novel annotation method based on one of the most popular typologies of argument schemes – into the widely used OVA software for argument analysis.

U2 - 10.18653/v1/W19-4012

DO - 10.18653/v1/W19-4012

M3 - Conference contribution

SP - 100

EP - 107

BT - Proceedings of the 13th Linguistic Annotation Workshop

A2 - Friedrich, Annemarie

A2 - Zeyrek, Deniz

A2 - Hoek, Jet

PB - Association for Computational Linguistics

CY - Florence, Italy

T2 - Proceedings of the 13th Linguistic Annotation Workshop

Y2 - 1 August 2019 through 1 August 2019

ER -

An Online Annotation Assistant for Argument Schemes

Abstract

Conference

Access to Document

Fingerprint

Projects

Argument Mining

Cite this