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IGGSA shared task on source and target extraction from political speeches

  • The Shared Task on Source and Target Extraction from Political Speeches (STEPS) first ran in 2014 and is organized by the Interest Group on German Sentiment Analysis (IGGSA). This volume presents the proceedings of the workshop of the second iteration of the shared task. The workshop was held at KONVENS 2016 at Ruhr-University Bochum on September 22, 2016. As in the first edition of the shared task the main focus of STEPS was on fine-grained sentiment analysis and offered a full task as well as two subtasks for the extraction Subjective Expressions and/or their respective Sources and Targets. In order to make the task more accessible, the annotation schema was revised for this year’s edition and an adjudicated gold standard was used for the evaluation. In contrast to the pilot task, this iteration provided training data for the participants, opening the Shared Task for systems based on machine learning approaches. The gold standard1 as well as the evaluation tool2 have been made publicly available to the research community via the STEPS’ website. We would like to thank the GSCL for their financial support in annotating the 2014 test data, which were available as training data in this iteration. A special thanks also goes to Stephanie Köser for her support on preparing and carrying out the annotation of this year’s test data. Finally, we would like to thank all the participants for their contributions and discussions at the workshop.

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Metadaten
URN:urn:nbn:de:hebis:30:3-419721
URL:http://www.linguistics.ruhr-uni-bochum.de/bla/
ISSN:2190-0949
Parent Title (German):Bochumer Linguistische Arbeitsberichte ;; 18
Series (Serial Number):Bochumer linguistische Arbeitsberichte : BLA (18)
Publisher:Ruhr-Universität Bochum, Sprachwissenschaftliches Institut
Place of publication:Bochum
Editor:Josef Ruppenhofer, Julia Maria Struß, Michael Wiegand
Document Type:Working Paper
Language:English
Date of Publication (online):2016/11/18
Year of first Publication:2016
Publishing Institution:Universitätsbibliothek Johann Christian Senckenberg
Release Date:2016/11/18
Page Number:28
HeBIS-PPN:395969697
Dewey Decimal Classification:4 Sprache / 41 Linguistik / 410 Linguistik
Sammlungen:Linguistik
Licence (German):License LogoDeutsches Urheberrecht