@incollection{RuppenhoferStrussWiegand2016,
  author    = {Josef Ruppenhofer and Julia Maria Stru{\"s} and Michael Wiegand},
  title     = {Overview of the IGGSA 2016 Shared Task on Source and Target Extraction from Political Speeches},
  series = {IGGSA Shared Task on Source and Target Extraction from Political Speeches},
  editor    = {Josef Ruppenhofer and Julia Maria Stru{\"s} and Michael Wiegand},
  publisher = {Ruhr-Universit{\"a}t Bochum},
  address   = {Bochum},
  issn      = {2190-0949},
  url       = {https://nbn-resolving.org/urn:nbn:de:bsz:mh39-55086},
  pages     = {1 -- 9},
  year      = {2016},
  abstract  = {We present the second iteration of IGGSA’s Shared Task on Sentiment Analysis for German. It resumes the STEPS task of IGGSA’s 2014 evaluation campaign: Source, Subjective Expression and Target Extraction from Political Speeches. As before, the task is focused on fine-grained sentiment analysis, extracting sources and targets with their associated subjective expressions from a corpus of speeches given in the Swiss parliament. The second iteration exhibits some differences, however; mainly the use of an adjudicated gold standard and the availability of training data. The shared task had 2 participants submitting 7 runs for the full task and 3 runs for each of the subtasks. We evaluate the results and compare them to the baselines provided by the previous iteration. The shared task homepage can be found at http://iggsasharedtask2016.github.io/.},
  language  = {en}
}