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dc.contributor.authorMohmmad, Saif M.en_NZ
dc.contributor.authorBravo-Marquez, Felipeen_NZ
dc.coverage.spatialCopenhagen, Denmarken_NZ
dc.date.accessioned2019-02-24T23:53:08Z
dc.date.available2017en_NZ
dc.date.available2019-02-24T23:53:08Z
dc.date.issued2017en_NZ
dc.identifier.citationMohmmad, S. M., & Bravo-Marquez, F. (2017). WASSA-2017 shared task on emotion intensity. In Proceedings of the 8th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis (pp. 34–49). Copenhagen, Denmark: Association for Computational Linguistics.en
dc.identifier.isbn978-1-945626-95-1en_NZ
dc.identifier.urihttps://hdl.handle.net/10289/12366
dc.description.abstractWe present the first shared task on detecting the intensity of emotion felt by the speaker of a tweet. We create the first datasets of tweets annotated for anger, fear, joy, and sadness intensities using a technique called best–worst scaling (BWS). We show that the annotations lead to reliable fine-grained intensity scores (rankings of tweets by intensity). The data was partitioned into training, development, and test sets for the competition. Twenty-two teams participated in the shared task, with the best system obtaining a Pearson correlation of 0.747 with the gold intensity scores. We summarize the machine learning setups, resources, and tools used by the participating teams, with a focus on the techniques and resources that are particularly useful for the task. The emotion intensity dataset and the shared task are helping improve our understanding of how we convey more or less intense emotions through language.en_NZ
dc.format.mimetypeapplication/pdf
dc.language.isoen
dc.publisherAssociation for Computational Linguisticsen_NZ
dc.relation.urihttp://aclweb.org/anthology/W17-5205en_NZ
dc.rights© 2017 Association for Computational Linguistics. Used with permission.
dc.sourceWASSA 2017en_NZ
dc.subjectcomputer scienceen_NZ
dc.titleWASSA-2017 shared task on emotion intensityen_NZ
dc.typeConference Contribution
dc.relation.isPartOfProceedings of the 8th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysisen_NZ
pubs.begin-page34
pubs.elements-id205555
pubs.end-page49
pubs.finish-date2017-09-08en_NZ
pubs.start-date2017-09-08en_NZ


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