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.
@InProceedings{WIEGAND18.58, author = {Michael Wiegand and Sylvette Loda and Josef Ruppenhofer}, title = "{Disambiguation of Verbal Shifters}", booktitle = {Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)}, year = {2018}, month = {May 7-12, 2018}, address = {Miyazaki, Japan}, editor = {Nicoletta Calzolari (Conference chair) 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 Hélène Mazo and Asuncion Moreno and Jan Odijk and Stelios Piperidis and Takenobu Tokunaga}, publisher = {European Language Resources Association (ELRA)}, isbn = {979-10-95546-00-9}, language = {english} }
Summary of the paper