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010   $a981-10-6194-7
024 7 $a10.1007/978-981-10-6194-3
035   $a(CKB)4100000007158877
035   $a(MiAaPQ)EBC5603432
035   $a(DE-He213)978-981-10-6194-3
035   $a(EXLCZ)994100000007158877
100   $a20181123d2019      u|         0
101 0 $aeng
135   $aurcnu||||||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aEmotion and Cause $eLinguistic Theory and Computational Implementation /$fby Sophia Yat Mei Lee
205   $a1st ed. 2019.
210  1$aSingapore :$cSpringer Singapore :$cImprint: Springer,$d2019.
215   $a1 online resource (153 pages)
225 1 $aStudies in East Asian Linguistics,$x2522-5103
311   $a981-10-6192-0 
327   $aAbstract -- Acknowledgements -- Table of Contents -- List of Figures -- List of Tables -- Introduction -- Theoretical Framework and Methodology -- Emotion Cause Representation and Transitivity -- Epistemic Markup of Emotion Causes -- A Linguistic Model of Emotion -- Emotion Cause Detection -- Conclusion and Future Research -- Appendix.
330   $aThis work argues that cause events, being the most tangible component of emotion, provide a rich dimension of how emotions should be classified. While it is often claimed that emotional concepts cannot be defined, this work views emotion as a response triggered by actual or perceived events, specifically focusing on the interaction between five primary emotions (Happiness, Sadness, Fear, Anger, and Surprise) and cause events. Cause events are examined in terms of two dimensions, namely transitivity and epistemicity. By incorporating the semantic and syntactic information of emotion cause events, this representation of emotion not only provides deep linguistic criteria of emotion cause events, but also offers an event-based approach to emotion classification. A text-driven, rule-based system for detecting the causes of emotion is then developed to establish the validity of the proposed linguistic model for emotion detection and classification. The system shows promising results.
410  0$aStudies in East Asian Linguistics,$x2522-5103
606   $aLanguage and education
606   $aApplied linguistics
606   $aSyntax
606   $aSemantics
606   $aLanguage Education$3https://scigraph.springernature.com/ontologies/product-market-codes/O23000
606   $aApplied Linguistics$3https://scigraph.springernature.com/ontologies/product-market-codes/N13000
606   $aSyntax$3https://scigraph.springernature.com/ontologies/product-market-codes/N45000
606   $aSemantics$3https://scigraph.springernature.com/ontologies/product-market-codes/N39000
615  0$aLanguage and education.
615  0$aApplied linguistics.
615  0$aSyntax.
615  0$aSemantics.
615 14$aLanguage Education.
615 24$aApplied Linguistics.
615 24$aSyntax.
615 24$aSemantics.
676   $a401.90285
700   $aLee$b Sophia Yat Mei$4aut$4http://id.loc.gov/vocabulary/relators/aut$01060917
906   $aBOOK
912   $a9910337735703321
996   $aEmotion and Cause$92516289
997   $aUNINA