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dc.contributor.authorÖzbal, Gözde
dc.contributor.authorPighin, Daniele
dc.date.accessioned2013-11-27T11:06:50Z
dc.date.created2013
dc.date.issued2013
dc.identifier.citationÖzbal, G.; Pighin, D. Evaluating the impact of syntax and semantics on emotion recognition from text. A: International Conference on Intelligent Text Processing and Computational Linguistics. "Computational Linguistics and Intelligent Text Processing: 14th International Conference, CICLing 2013: Samos, Greece, March 24-30, 2013: proceedings, part I". Samos: Springer, 2013, p. 161-173.
dc.identifier.isbn978-3-642-37247-6
dc.identifier.urihttp://hdl.handle.net/2117/20805
dc.description.abstractIn this paper, we systematically analyze the effect of incorporating different levels of syntactic and semantic information on the accuracy of emotion recognition from text. We carry out the evaluation in a supervised learning framework, and employ tree kernel functions as an intuitive and effective way to generate different feature spaces based on structured representations of the input data. We compare three different formalisms to encode syntactic information enriched with semantic features. These features are obtained from hand-annotated resources as well as distributional models. For the experiments, we use three datasets annotated according to the same set of emotions. Our analysis indicates that shallow syntactic information can positively interact with semantic features. In addition, we show how the three datasets can hardly be combined to learn more robust models, due to inherent differences in the linguistic properties of the texts or in the annotation.
dc.format.extent13 p.
dc.language.isoeng
dc.publisherSpringer
dc.subjectÀrees temàtiques de la UPC::Informàtica::Intel·ligència artificial::Llenguatge natural
dc.subject.lcshComputational linguistics -- Research
dc.subject.otherSemantics
dc.subject.otherComputational linguistics
dc.subject.otherSyntactics
dc.subject.otherText processing
dc.titleEvaluating the impact of syntax and semantics on emotion recognition from text
dc.typeConference report
dc.subject.lemacLingüística computacional
dc.contributor.groupUniversitat Politècnica de Catalunya. GPLN - Grup de Processament del Llenguatge Natural
dc.identifier.doi10.1007/978-3-642-37256-8_14
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttp://link.springer.com/chapter/10.1007/978-3-642-37256-8_14
dc.rights.accessRestricted access - publisher's policy
local.identifier.drac12467164
dc.description.versionPostprint (published version)
dc.date.lift10000-01-01
local.citation.authorÖzbal, G.; Pighin, D.
local.citation.contributorInternational Conference on Intelligent Text Processing and Computational Linguistics
local.citation.pubplaceSamos
local.citation.publicationNameComputational Linguistics and Intelligent Text Processing: 14th International Conference, CICLing 2013: Samos, Greece, March 24-30, 2013: proceedings, part I
local.citation.startingPage161
local.citation.endingPage173


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