@inproceedings{WiegandLappRuppenhofer2019, author = {Michael Wiegand and Leonie Lapp and Josef Ruppenhofer}, title = {A descriptive analysis of a German corpus annotated with opinion sources and targets}, series = {Preliminary proceedings of the 15th Conference on Natural Language Processing (KONVENS 2019), October 9 – 11, 2019 at Friedrich-Alexander-Universit{\"a}t Erlangen-N{\"u}rnberg}, publisher = {German Society for Computational Linguistics \& Language Technology und Friedrich-Alexander-Universit{\"a}t Erlangen-N{\"u}rnberg}, address = {M{\"u}nchen [u.a.]}, url = {https://nbn-resolving.org/urn:nbn:de:bsz:mh39-93203}, pages = {20 -- 29}, year = {2019}, abstract = {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.}, language = {en} }