@inproceedings{skeppstedt-etal-2018-less,
title = "More or less controlled elicitation of argumentative text: Enlarging a microtext corpus via crowdsourcing",
author = "Skeppstedt, Maria and
Peldszus, Andreas and
Stede, Manfred",
editor = "Slonim, Noam and
Aharonov, Ranit",
booktitle = "Proceedings of the 5th Workshop on Argument Mining",
month = nov,
year = "2018",
address = "Brussels, Belgium",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/W18-5218",
doi = "10.18653/v1/W18-5218",
pages = "155--163",
abstract = "We present an extension of an annotated corpus of short argumentative texts that had originally been built in a controlled text production experiment. Our extension more than doubles the size of the corpus by means of crowdsourcing. We report on the setup of this experiment and on the consequences that crowdsourcing had for assembling the data, and in particular for annotation. We labeled the argumentative structure by marking claims, premises, and relations between them, following the scheme used in the original corpus, but had to make a few modifications in response to interesting phenomena in the data. Finally, we report on an experiment with the automatic prediction of this argumentation structure: We first replicated the approach of an earlier study on the original corpus, and compare the performance to various settings involving the extension.",
}
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%0 Conference Proceedings
%T More or less controlled elicitation of argumentative text: Enlarging a microtext corpus via crowdsourcing
%A Skeppstedt, Maria
%A Peldszus, Andreas
%A Stede, Manfred
%Y Slonim, Noam
%Y Aharonov, Ranit
%S Proceedings of the 5th Workshop on Argument Mining
%D 2018
%8 November
%I Association for Computational Linguistics
%C Brussels, Belgium
%F skeppstedt-etal-2018-less
%X We present an extension of an annotated corpus of short argumentative texts that had originally been built in a controlled text production experiment. Our extension more than doubles the size of the corpus by means of crowdsourcing. We report on the setup of this experiment and on the consequences that crowdsourcing had for assembling the data, and in particular for annotation. We labeled the argumentative structure by marking claims, premises, and relations between them, following the scheme used in the original corpus, but had to make a few modifications in response to interesting phenomena in the data. Finally, we report on an experiment with the automatic prediction of this argumentation structure: We first replicated the approach of an earlier study on the original corpus, and compare the performance to various settings involving the extension.
%R 10.18653/v1/W18-5218
%U https://aclanthology.org/W18-5218
%U https://doi.org/10.18653/v1/W18-5218
%P 155-163
Markdown (Informal)
[More or less controlled elicitation of argumentative text: Enlarging a microtext corpus via crowdsourcing](https://aclanthology.org/W18-5218) (Skeppstedt et al., ArgMining 2018)
ACL