Towards Automatic Argument Extraction and Visualization in a Deliberative Model of Online Consultations for Local Governments

Robert Bembenik , Piotr Andruszkiewicz


Automatic extraction and visualization of arguments used in a long online discussion, especially if the discussion involves a large number of participants and spreads over several days, can be helpful to the people involved. The main benefit is that they do not have to read all entries to get to know the main topics being discussed and can refer to existing arguments instead of introducing them anew. Such discussions take place, i.e., on a deliberative platform being developed under the ‘In Dialogue’ project. In this paper we propose a framework allowing for automatic extraction of arguments from deliberations and visualization. The framework assumes extraction of arguments and argument proposals, sentiment analysis to predict whether argument is negative or positive, classification to decide how the arguments are related and the use of ontology for visualization.
Author Robert Bembenik (FEIT / IN)
Robert Bembenik,,
- The Institute of Computer Science
, Piotr Andruszkiewicz (FEIT / IN)
Piotr Andruszkiewicz,,
- The Institute of Computer Science
Publication size in sheets0.6
Book Pokorný Jaroslav, Ivanović Mirjana, Thalheim Bernhard, Šaloun Petr (eds.): Advances in Databases and Information Systems. 20th East European Conference, ADBIS 2016, Proceedings, Lecture Notes In Computer Science, vol. 9809, 2016, Springer International Publishing, ISBN 978-3-319-44038-5, [978-3-319-44039-2], 354 p., DOI:10.1007/978-3-319-44039-2
Keywords in EnglishAutomatic argumentation extraction, Argumentation visualization, Argument mining, Natural language processing
ProjectDevelopment of new algorithms in the areas of software and computer architecture, artificial intelligence and information systems and computer graphics . Project leader: Rybiński Henryk, , Phone: +48 22 234 7731, start date 18-05-2015, end date 30-11-2016, II/2015/DS/1, Completed
WEiTI Działalność statutowa
Languageen angielski
Argument mapping LNCS (1).pdf 329.85 KB
Score (nominal)15
Score sourceconferenceIndex
ScoreMinisterial score = 15.0, 10-02-2020, BookChapterSeriesAndMatConfByConferenceseries
Ministerial score (2013-2016) = 15.0, 10-02-2020, BookChapterSeriesAndMatConfByConferenceseries
Publication indicators Scopus Citations = 1; GS Citations = 3.0
Citation count*4 (2020-08-25)
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