Work

More or less controlled elicitation of argumentative text: Enlarging a microtext corpus via crowdsourcing

Year: 2018

Type: conference-paper

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.

Source: Workshop on Argument Mining (ArgMining)

DOI: 10.18653/v1/w18-5218

Authors: Maria Skeppstedt, Andreas Peldszus, Manfred Stede

Institutions: University of Potsdam, Linnaeus University

Language: English

Topic: Linguistics and Discourse Analysis

Subfield: Philosophy

Field: Arts and Humanities

Domain: Social Sciences

Open Access status: hybrid

Funder: Vetenskapsrådet

Award: Navigating in streams of opinions: Extracting and visualising arguments in opinionated texts