EmoTales: creating a corpus of folk tales with emotional annotations.
Emotions are inherent to any human activity, including human-computer interactions, and that is the reason why recognizing emotions expressed in natural language is becoming a key feature for the design of more natural user interfaces. In order to obtain useful corpora for this purpose, the manual c...
| Publicado en: | Language Resources & Evaluation Vol. 46; no. 3; pp. 341 - 382 |
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| Autores principales: | , , , |
| Formato: | Artículo |
| Publicado: |
Springer Nature
Sep2012
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| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=82579975&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 82579975 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 1574020X 179V jtl: Language Resources & Evaluation issn: 1574020X maglogo: N pubinfo: dt: Sep2012 vid: 46 iid: 3 pid: 237 pub: Springer Nature artinfo: ui: 82579975 10.1007/s10579-011-9140-5 ppf: 341 ppct: 41 formats: fmt: @attributes: type: P size: 640KB tig: atl: EmoTales: creating a corpus of folk tales with emotional annotations. aug: au: Francisco, Virginia Hervás, Raquel Peinado, Federico Gervás, Pablo affil: Departamento de Ingeniería del Software e Inteligencia Artificial, Facultad de Informática, Universidad Complutense de Madrid, Madrid Spain su: Legends Emotions Annotations Natural language processing Computational linguistics Ontology sug: subj: Legends Emotions Annotations Natural language processing Computational linguistics Ontology keyword: Corpus annotation Emotional categories Emotional dimensions Emotional ontology Text corpora ab: Emotions are inherent to any human activity, including human-computer interactions, and that is the reason why recognizing emotions expressed in natural language is becoming a key feature for the design of more natural user interfaces. In order to obtain useful corpora for this purpose, the manual classification of texts according to their emotional content has been the technique most commonly used by the research community. The use of corpora is widespread in Natural Language Processing, and the existing corpora annotated with emotions support the development, training and evaluation of systems using this type of data. In this paper we present the development of an annotated corpus oriented to the narrative domain, called EmoTales, which uses two different approaches to represent emotional states: emotional categories and emotional dimensions. The corpus consists of a collection of 1,389 English sentences from 18 different folk tales, annotated by 36 different people. Our model of the corpus development process includes a post-processing stage performed after the annotation of the corpus, in which a reference value for each sentence was chosen by taking into account the tags assigned by annotators and some general knowledge about emotions, which is codified in an ontology. The whole process is presented in detail, and revels significant results regarding the corpus such as inter-annotator agreement, while discussing topics such as how human annotators deal with emotional content when performing their work, and presenting some ideas for the application of this corpus that may inspire the research community to develop new ways to annotate corpora using a large set of emotional tags. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y custom: Language Resources & Evaluation is a copyright of Springer, 2012. All Rights Reserved. item: Language Resources & Evaluation holder: Springer Nature dt: @attributes: year: 2012 holdings: @attributes: islocal: N |
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