@incollection{WiegandLodaRuppenhofer2018,
  author    = {Michael Wiegand and Sylvette Loda and Josef Ruppenhofer},
  title     = {Disambiguation of verbal shifters},
  series = {Proceedings of the eleventh international conference on language resources and evaluation (LREC 2018), 7-12 May 2018, Miyazaki, Japan},
  editor    = {Nicoletta Calzolari and Khalid Choukri and Christopher Cieri and Thierry Declerck and Sara Goggi and Koiti Hasida and Hitoshi Isahara and Bente Maegaard and Joseph Mariani and H{\´e}l{\`e}ne Mazo and Asuncion Moreno and Jan Odijk and Stelios Piperidis and Takenobu Tokunaga},
  publisher = {European language resources association (ELRA)},
  address   = {Paris, France},
  isbn      = {979-10-95546-00-9},
  url       = {https://nbn-resolving.org/urn:nbn:de:bsz:mh39-74836},
  pages     = {608 -- 612},
  year      = {2018},
  abstract  = {Negation is an important contextual phenomenon that needs to be addressed in sentiment analysis. Next to common negation function words, such as not or none, there is also a considerably large class of negation content words, also referred to as shifters, such as the verbs diminish, reduce or reverse. However, many of these shifters are ambiguous. For instance, spoil as in spoil your chance reverses the polarity of the positive polar expression chance while in spoil your loved ones, no negation takes place. We present a supervised learning approach to disambiguating verbal shifters. Our approach takes into consideration various features, particularly generalization features.},
  language  = {en}
}