License: Creative Commons Attribution 3.0 Unported license (CC BY 3.0)
When quoting this document, please refer to the following
DOI: 10.4230/DagRep.6.4.80
URN: urn:nbn:de:0030-drops-66923
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2016/6692/
Cabrio, Elena ;
Hirst, Graeme ;
Villata, Serena ;
Wyner, Adam
Weitere Beteiligte (Hrsg. etc.): Elena Cabrio and Graeme Hirst and Serena Villata and Adam Wyner
Natural Language Argumentation: Mining, Processing, and Reasoning over Textual Arguments (Dagstuhl Seminar 16161)
Abstract
This report documents the program and the outcomes of Dagstuhl Seminar 16161 "Natural Language Argumentation: Mining, Processing, and Reasoning over Textual Arguments", 17--22 April 2016. The seminar brought together leading researchers from computational linguistics, argumentation theory and cognitive psychology communities to discuss the obtained results and the future challenges of the recently born Argument Mining research area. 40 participants from 14 different countries took part in 7 sessions that included 30 talks, two tutorials, and a hands-on “unshared” task.
BibTeX - Entry
@Article{cabrio_et_al:DR:2016:6692,
author = {Elena Cabrio and Graeme Hirst and Serena Villata and Adam Wyner},
title = {{Natural Language Argumentation: Mining, Processing, and Reasoning over Textual Arguments (Dagstuhl Seminar 16161)}},
pages = {80--109},
journal = {Dagstuhl Reports},
ISSN = {2192-5283},
year = {2016},
volume = {6},
number = {4},
editor = {Elena Cabrio and Graeme Hirst and Serena Villata and Adam Wyner},
publisher = {Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
address = {Dagstuhl, Germany},
URL = {http://drops.dagstuhl.de/opus/volltexte/2016/6692},
URN = {urn:nbn:de:0030-drops-66923},
doi = {10.4230/DagRep.6.4.80},
annote = {Keywords: Argument Mining, Argumentation Theory, Cognitive Science, Computational Linguistics}
}
Keywords: |
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Argument Mining, Argumentation Theory, Cognitive Science, Computational Linguistics |
Collection: |
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Dagstuhl Reports, Volume 6, Issue 4 |
Issue Date: |
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2016 |
Date of publication: |
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12.10.2016 |