TY  - CHAP
U1  - Konferenzveröffentlichung
A1  - Wiegand, Michael
A1  - Lapp, Leonie
A1  - Ruppenhofer, Josef
T1  - A descriptive analysis of a German corpus annotated with opinion sources and targets
T2  - Preliminary proceedings of the 15th Conference on Natural Language Processing (KONVENS 2019), October 9 – 11, 2019 at Friedrich-Alexander-Universität Erlangen-Nürnberg
N2  - We present a descriptive analysis on the two datasets from the shared task on Source, Subjective Expression and Target Extraction from Political Speeches (STEPS), the only existing German dataset for opinion role extraction of its size. Our analysis discusses the individual properties of the three components, subjective expressions, sources and targets and their relations towards each other. Our observations should help practitioners and researchers when building a system to extract opinion roles from German data.
KW  - Deutsch
KW  - Politische Sprache
KW  - Gesprochene Sprache
KW  - Propositionale Einstellung
KW  - Automatische Sprachanalyse
Y1  - 2019
U6  - https://nbn-resolving.org/urn:nbn:de:bsz:mh39-93203
UN  - https://nbn-resolving.org/urn:nbn:de:bsz:mh39-93203
UR  - https://corpora.linguistik.uni-erlangen.de/data/konvens/proceedings/papers/KONVENS2019_paper_7.pdf
SP  - 20
EP  - 29
PB  - German Society for Computational Linguistics & Language Technology und Friedrich-Alexander-Universität Erlangen-Nürnberg
CY  - München [u.a.]
ER  -