IGGSA-STEPS: Shared Task on Source and Target Extraction from Political Speeches
- Accurate opinion mining requires the exact identification of the source and target of an opinion. To evaluate diverse tools, the research community relies on the existence of a gold standard corpus covering this need. Since such a corpus is currently not available for German, the Interest Group on German Sentiment Analysis decided to create such a resource and make it available to the research community in the context of a shared task. In this paper, we describe the selection of textual sources, development of annotation guidelines, and first evaluation results in the creation of a gold standard corpus for the German language.
Author: | Josef RuppenhoferGND, Julia Maria Struß |
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URN: | urn:nbn:de:bsz:mh39-49410 |
URL: | http://www.jlcl.org/index.php?modus=ausgaben&language=en |
Parent Title (English): | Journal for Language Technology and Computational Linguistics |
Publisher: | Regensburg |
Place of publication: | Gesellschaft für Sprachtechnologie und Computerlinguistik |
Editor: | Michael Wiegand, Robert Remus, Stefan Gindl |
Document Type: | Article |
Language: | English |
Year of first Publication: | 2014 |
Date of Publication (online): | 2016/06/08 |
Publicationstate: | Veröffentlichungsversion |
Reviewstate: | Peer-Review |
Tag: | annotation guidelines; gold standard corpus; selection of textual sources |
GND Keyword: | Annotation; Automatische Sprachanalyse; Data Mining; Korpus <Linguistik>; Parlamentsdebatte; Politische Sprache |
Volume: | 29 |
Issue: | 1 |
First Page: | 33 |
Last Page: | 46 |
DDC classes: | 400 Sprache / 410 Linguistik |
Open Access?: | ja |
BDSL-Classification: | Textwissenschaft |
Linguistics-Classification: | Computerlinguistik |
Licence (German): | ![]() |