@inproceedings{Wiegand2019,
  author    = {Michael Wiegand},
  title     = {Predicate Acquisition for Opinion Holder Extraction. A Data-Intensive Approach},
  series = {Proceedings des 8. Hildesheimer Evaluierungs- und Retrievalworkshop (HiER 2013), Hildesheim, 25.-26. April 2013},
  editor    = {Joachim Griesbaum and Ben Heuwing and Josef Ruppenhofer and Katrin Werner},
  publisher = {Institut f{\"u}r Informationswissenschaft und Sprachtechnologie, Universit{\"a}t Hildesheim},
  address   = {Hildesheim},
  url       = {https://nbn-resolving.org/urn:nbn:de:gbv:hil2-opus-1929},
  pages     = {41 -- 50},
  year      = {2019},
  abstract  = {Opinion holder extraction is one of the most important tasks in sentiment analysis. We will briefly outline the importance of predicates for this task and categorize them according to part of speech and according to which semantic role they select for the opinion holder. For many languages there do not exist semantic resources from which such predicates can be easily extracted. Therefore, we present alternative corpus-based methods to gain such predicates automatically, including the usage of prototypical opinion holders, i.e. common nouns, denoting for example experts or analysts, which describe particular groups of people whose profession or occupation is to form and express opinions towards specific items.},
  language  = {en}
}