The arg-microtexts corpus features 112 short argumentative texts. All texts were originally written in German and have been professionally translated to English.
The texts with ids b001-b064 and k001-k031 have been collected in a controlled text generation experiment from 23 subjects discussing various controversial issues from a fixed list.
The texts with ids d01-d23 have been written by Andreas Peldszus and were used mainly in teaching and testing students argumentative analysis.
All texts are annotated with argumentation structures, following the scheme proposed in Peldszus & Stede (2013). For inter-annotator-agreement scores see Peldszus (2014). The (German) annotation guidelines are published in Peldszus, Warzecha, Stede (2016).
The arg-microtexts corpus is released under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License. You can find a human-readable summary of the licence agreement here:
If you are using our corpus for research purposes, please cite the following paper:
Andreas Peldszus, Manfred Stede. An annotated corpus of argumentative microtexts. First European Conference on Argumentation: Argumentation and Reasoned Action, Portugal, Lisbon, June 2015.
arg-microtexts-multilayer - The English version of the microtext corpus has recently been annotated with two additional levels of discourse structure (RST and SDRT) and features a more fine-grained EDU-based segmentation common to all three levels.
-
An annotated corpus of argumentative microtexts
Andreas Peldszus, Manfred Stede.
First European Conference on Argumentation: Argumentation and Reasoned Action, Portugal, Lisbon, June 2015. -
Argumentationsstruktur
Andreas Peldszus, Saskia Warzecha, Manfred Stede.
In: Manfred Stede (Ed.) Handbuch Textannotation: Potsdamer Kommentarkorpus 2.0. Potsdam Cognitive Science Series, Volume 8, Universitätsverlag, Potsdam, 2016, Pages 185-208. -
Towards segment-based recognition of argumentation structure in short texts
Andreas Peldszus.
In: First Workshop on Argumentation Mining, ACL, Baltimore, Maryland, June 2014. -
From Argument Diagrams to Argumentation Mining in Texts: A survey
Andreas Peldszus, Manfred Stede.
In: International Journal of Cognitive Informatics and Natural Intelligence (IJCINI) Volume 7, Issue 1, 2013, Pages 1-31.