@inproceedings{RuppenhoferRehbein2016,
  author    = {Josef Ruppenhofer and Ines Rehbein},
  title     = {Semantic frames as an anchor representation for sentiment analysis},
  series = {3rd Workshop on Computational Approaches to Subjectivity and Sentiment Analysis, July 12, 2012 Jeju, Republic of Korea},
  publisher = {Association for Computational Linguistics},
  address   = {Stroudsburg},
  isbn      = {978-1-937284-33-6},
  url       = {https://nbn-resolving.org/urn:nbn:de:bsz:mh39-52565},
  pages     = {104 -- 109},
  year      = {2016},
  abstract  = {Current work on sentiment analysis is characterized by approaches with a pragmatic focus, which use shallow techniques in the interest of robustness but often rely on ad-hoc creation of data sets and methods. We argue that progress towards deep analysis depends on a) enriching shallow representations with linguistically motivated, rich information, and b) focussing different branches of research and combining ressources to create synergies with related work in NLP. In the paper, we propose SentiFrameNet, an extension to FrameNet, as a novel representation for sentiment analysis that is tailored to these aims.},
  language  = {en}
}