@inproceedings{WiegandBocionekRuppenhofer2016,
  author    = {Michael Wiegand and Christine Bocionek and Josef Ruppenhofer},
  title     = {Opinion Holder and Target Extraction on Opinion Compounds – A Linguistic Approach},
  series = {Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies},
  editor    = {Kevin Knight and Ani Nenkova and Owen Rambow},
  publisher = {Association for Computational Linguistics},
  address   = {San Diego (California)},
  isbn      = {978-1-941643-91-4},
  url       = {https://nbn-resolving.org/urn:nbn:de:bsz:mh39-55104},
  pages     = {800 -- 810},
  year      = {2016},
  abstract  = {We present an approach to the new task of opinion holder and target extraction on opinion compounds. Opinion compounds (e.g. user rating or victim support) are noun compounds whose head is an opinion noun. We do not only examine features known to be effective for noun compound analysis, such as paraphrases and semantic classes of heads and modifiers, but also propose novel features tailored to this new task. Among them, we examine paraphrases that jointly consider holders and targets, a verb detour in which noun heads are replaced by related verbs, a global head constraint allowing inferencing between different compounds, and the categorization of the sentiment view that the head conveys.},
  language  = {en}
}