A Corpus of Argument Networks: Using Graph Properties to Analyse Divisive Issues

Barbara Konat; John Lawrence; Joonsuk Park; Katarzyna Budzynska; Chris Reed

A Corpus of Argument Networks: Using Graph Properties to Analyse Divisive Issues

Barbara Konat, John Lawrence, Joonsuk Park, Katarzyna Budzynska, Chris Reed

Computing

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

20 Citations (Scopus)

170 Downloads (Pure)

Abstract

Governments are increasingly utilising online platforms in order to engage with, and ascertain the opinions of, their citizens. Whilst policy makers could potentially benefit from such enormous feedback from society, they first face the challenge of making sense out of the large volumes of data produced. This creates a demand for tools and technologies which will enable governments to quickly and thoroughly digest the points being made and to respond accordingly. By determining the argumentative and dialogical structures contained within a debate, we are able to determine the issues which are divisive and those which attract agreement. This paper proposes a method of graph-based analytics which uses properties of graphs representing networks of arguments pro- & con- in order to automatically analyse issues which divide citizens about new regulations. By future application of the most recent advances in argument mining, the results reported here will have a chance to scale up to enable sense-making of the vast amount of feedback received from citizens on directions that policy should take.

Original language	English
Title of host publication	LREC 2016
Subtitle of host publication	Proceedings for the Tenth International Conference on Language Resources and Evaluation
Editors	Nicoletta Calzolari, Khalid Choukri, Thierry Declerck, Sara Goggi, Marko Grobelnik, Bente Maegaard, Joseph Mariani, Helene Mazo, Asuncion Moreno, Jan Odijk, Stelios Piperidis
Place of Publication	Slovenia
Publisher	European Language Resources Association
Pages	3899-3906
Number of pages	8
ISBN (Electronic)	9782951740891
Publication status	Published - 2016
Event	Tenth International Conference on Language Resources and Evaluation - Portoroz, Slovenia Duration: 23 May 2016 → 28 May 2016 http://lrec2016.lrec-conf.org/en/

Conference

Conference	Tenth International Conference on Language Resources and Evaluation
Country/Territory	Slovenia
City	Portoroz
Period	23/05/16 → 28/05/16
Internet address	http://lrec2016.lrec-conf.org/en/

Keywords

Argument Analysis
Argument Structure
Automatic Text Interpretation
Divisiveness Measures
e-Participation
Graph-based Analytics

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Final Published Version
Copyright by the European Language Resources Association. The LREC 2016 Proceedings are licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Final published version, 1.01 MBLicence: CC BY-NC

Cite this

Konat, B., Lawrence, J., Park, J., Budzynska, K., & Reed, C. (2016). A Corpus of Argument Networks: Using Graph Properties to Analyse Divisive Issues. In N. Calzolari, K. Choukri, T. Declerck, S. Goggi, M. Grobelnik, B. Maegaard, J. Mariani, H. Mazo, A. Moreno, J. Odijk, & S. Piperidis (Eds.), LREC 2016: Proceedings for the Tenth International Conference on Language Resources and Evaluation (pp. 3899-3906). European Language Resources Association.

Konat, Barbara ; Lawrence, John ; Park, Joonsuk et al. / A Corpus of Argument Networks : Using Graph Properties to Analyse Divisive Issues. LREC 2016: Proceedings for the Tenth International Conference on Language Resources and Evaluation. editor / Nicoletta Calzolari ; Khalid Choukri ; Thierry Declerck ; Sara Goggi ; Marko Grobelnik ; Bente Maegaard ; Joseph Mariani ; Helene Mazo ; Asuncion Moreno ; Jan Odijk ; Stelios Piperidis. Slovenia : European Language Resources Association, 2016. pp. 3899-3906

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title = "A Corpus of Argument Networks: Using Graph Properties to Analyse Divisive Issues",

abstract = "Governments are increasingly utilising online platforms in order to engage with, and ascertain the opinions of, their citizens. Whilst policy makers could potentially benefit from such enormous feedback from society, they first face the challenge of making sense out of the large volumes of data produced. This creates a demand for tools and technologies which will enable governments to quickly and thoroughly digest the points being made and to respond accordingly. By determining the argumentative and dialogical structures contained within a debate, we are able to determine the issues which are divisive and those which attract agreement. This paper proposes a method of graph-based analytics which uses properties of graphs representing networks of arguments pro- & con- in order to automatically analyse issues which divide citizens about new regulations. By future application of the most recent advances in argument mining, the results reported here will have a chance to scale up to enable sense-making of the vast amount of feedback received from citizens on directions that policy should take.",

keywords = "Argument Analysis, Argument Structure, Automatic Text Interpretation, Divisiveness Measures, e-Participation, Graph-based Analytics",

author = "Barbara Konat and John Lawrence and Joonsuk Park and Katarzyna Budzynska and Chris Reed",

note = "The authors would like to acknowledge that the work reported in this paper has been supported in the UK in part by RCUK Lifelong Health and Wellbeing Programme grant number EP/K037293/1 - BESiDE: The Built Environment for Social Inclusion in the Digital Economy, in part by the EPSRC grant number EP/N014871/1 Argument Mining and in part by the Innovate UK under grant 101777 and in the US in part by NSF grant IIS-1314778. ; Tenth International Conference on Language Resources and Evaluation ; Conference date: 23-05-2016 Through 28-05-2016",

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language = "English",

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editor = "Nicoletta Calzolari and Khalid Choukri and Thierry Declerck and Sara Goggi and Marko Grobelnik and Bente Maegaard and Joseph Mariani and Helene Mazo and Asuncion Moreno and Jan Odijk and Stelios Piperidis",

booktitle = "LREC 2016",

publisher = "European Language Resources Association",

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Konat, B, Lawrence, J, Park, J, Budzynska, K & Reed, C 2016, A Corpus of Argument Networks: Using Graph Properties to Analyse Divisive Issues. in N Calzolari, K Choukri, T Declerck, S Goggi, M Grobelnik, B Maegaard, J Mariani, H Mazo, A Moreno, J Odijk & S Piperidis (eds), LREC 2016: Proceedings for the Tenth International Conference on Language Resources and Evaluation. European Language Resources Association, Slovenia, pp. 3899-3906, Tenth International Conference on Language Resources and Evaluation, Portoroz, Slovenia, 23/05/16.

A Corpus of Argument Networks: Using Graph Properties to Analyse Divisive Issues. / Konat, Barbara; Lawrence, John; Park, Joonsuk et al.
LREC 2016: Proceedings for the Tenth International Conference on Language Resources and Evaluation. ed. / Nicoletta Calzolari; Khalid Choukri; Thierry Declerck; Sara Goggi; Marko Grobelnik; Bente Maegaard; Joseph Mariani; Helene Mazo; Asuncion Moreno; Jan Odijk; Stelios Piperidis. Slovenia: European Language Resources Association, 2016. p. 3899-3906.

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

TY - GEN

T1 - A Corpus of Argument Networks

T2 - Tenth International Conference on Language Resources and Evaluation

AU - Konat, Barbara

AU - Lawrence, John

AU - Park, Joonsuk

AU - Budzynska, Katarzyna

AU - Reed, Chris

N1 - The authors would like to acknowledge that the work reported in this paper has been supported in the UK in part by RCUK Lifelong Health and Wellbeing Programme grant number EP/K037293/1 - BESiDE: The Built Environment for Social Inclusion in the Digital Economy, in part by the EPSRC grant number EP/N014871/1 Argument Mining and in part by the Innovate UK under grant 101777 and in the US in part by NSF grant IIS-1314778.

PY - 2016

Y1 - 2016

N2 - Governments are increasingly utilising online platforms in order to engage with, and ascertain the opinions of, their citizens. Whilst policy makers could potentially benefit from such enormous feedback from society, they first face the challenge of making sense out of the large volumes of data produced. This creates a demand for tools and technologies which will enable governments to quickly and thoroughly digest the points being made and to respond accordingly. By determining the argumentative and dialogical structures contained within a debate, we are able to determine the issues which are divisive and those which attract agreement. This paper proposes a method of graph-based analytics which uses properties of graphs representing networks of arguments pro- & con- in order to automatically analyse issues which divide citizens about new regulations. By future application of the most recent advances in argument mining, the results reported here will have a chance to scale up to enable sense-making of the vast amount of feedback received from citizens on directions that policy should take.

AB - Governments are increasingly utilising online platforms in order to engage with, and ascertain the opinions of, their citizens. Whilst policy makers could potentially benefit from such enormous feedback from society, they first face the challenge of making sense out of the large volumes of data produced. This creates a demand for tools and technologies which will enable governments to quickly and thoroughly digest the points being made and to respond accordingly. By determining the argumentative and dialogical structures contained within a debate, we are able to determine the issues which are divisive and those which attract agreement. This paper proposes a method of graph-based analytics which uses properties of graphs representing networks of arguments pro- & con- in order to automatically analyse issues which divide citizens about new regulations. By future application of the most recent advances in argument mining, the results reported here will have a chance to scale up to enable sense-making of the vast amount of feedback received from citizens on directions that policy should take.

KW - Argument Analysis

KW - Argument Structure

KW - Automatic Text Interpretation

KW - Divisiveness Measures

KW - e-Participation

KW - Graph-based Analytics

UR - http://www.lrec-conf.org/proceedings/lrec2016/index.html

M3 - Conference contribution

SP - 3899

EP - 3906

BT - LREC 2016

A2 - Calzolari, Nicoletta

A2 - Choukri, Khalid

A2 - Declerck, Thierry

A2 - Goggi, Sara

A2 - Grobelnik, Marko

A2 - Maegaard, Bente

A2 - Mariani, Joseph

A2 - Mazo, Helene

A2 - Moreno, Asuncion

A2 - Odijk, Jan

A2 - Piperidis, Stelios

PB - European Language Resources Association

CY - Slovenia

Y2 - 23 May 2016 through 28 May 2016

ER -

Konat B, Lawrence J, Park J, Budzynska K , Reed C. A Corpus of Argument Networks: Using Graph Properties to Analyse Divisive Issues. In Calzolari N, Choukri K, Declerck T, Goggi S, Grobelnik M, Maegaard B, Mariani J, Mazo H, Moreno A, Odijk J, Piperidis S, editors, LREC 2016: Proceedings for the Tenth International Conference on Language Resources and Evaluation. Slovenia: European Language Resources Association. 2016. p. 3899-3906

A Corpus of Argument Networks: Using Graph Properties to Analyse Divisive Issues

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