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Disambiguation of verbal shifters

  • 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.

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Metadaten
Author:Michael Wiegand, Sylvette Loda, Josef RuppenhoferGND
URN:urn:nbn:de:bsz:mh39-74836
URL:http://www.lrec-conf.org/proceedings/lrec2018/summaries/58.html
ISBN:979-10-95546-00-9
Parent Title (English):Proceedings of the eleventh international conference on language resources and evaluation (LREC 2018), 7-12 May 2018, Miyazaki, Japan
Publisher:European language resources association (ELRA)
Place of publication:Paris, France
Editor:Nicoletta Calzolari, Khalid Choukri, Christopher Cieri, Thierry Declerck, Sara Goggi, Koiti Hasida, Hitoshi Isahara, Bente Maegaard, Joseph Mariani, Hélène Mazo, Asuncion Moreno, Jan Odijk, Stelios Piperidis, Takenobu Tokunaga
Document Type:Part of a Book
Language:English
Year of first Publication:2018
Date of Publication (online):2018/05/23
Publicationstate:Veröffentlichungsversion
Reviewstate:Peer-Review
Tag:negation modeling; sentiment analysis; word-sense disambiguation
GND Keyword:Disambiguierung; Negation; Semantische Analyse
First Page:608
Last Page:612
DDC classes:400 Sprache / 400 Sprache, Linguistik
Open Access?:ja
Leibniz-Classification:Sprache, Linguistik
Linguistics-Classification:Computerlinguistik
Program areas:Pragmatik
Program areas:Digitale Sprachwissenschaft
Licence (English):License LogoCreative Commons - Attribution-NonCommercial 4.0 International