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The SpeDial datasets: datasets for spoken dialogue systems analytics

Lopes José David Aguas, Chorianopoulou Arodami, Palogiannidi Elisavet, Moniz Helena, Abad Alberto, Iosif Ilias, Potamianos Alexandros

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URIhttp://purl.tuc.gr/dl/dias/E6FE8E29-4C35-40AC-9C45-B2C7297F298F-
Identifierhttp://kth.diva-portal.org/smash/record.jsf?aq2=%5B%5B%5D%5D&c=146&af=%5B%5D&searchType=LIST_LATEST&query=&language=no&pid=diva2%3A1083717&aq=%5B%5B%5D%5D&sf=all&aqe=%5B%5D&sortOrder=author_sort_asc&onlyFullText=false&noOfRows=50&dswid=-8451-
Languageen-
Extent7 pagesen
TitleThe SpeDial datasets: datasets for spoken dialogue systems analyticsen
CreatorLopes José David Aguasen
CreatorChorianopoulou Arodamien
CreatorΧωριανοπουλου Αροδαμηel
CreatorPalogiannidi Elisaveten
CreatorΠαλογιαννιδη Ελισαβετel
CreatorMoniz Helenaen
CreatorAbad Albertoen
CreatorIosif Iliasen
CreatorΙωσηφ Ηλιαςel
CreatorPotamianos Alexandrosen
CreatorΠοταμιανος Αλεξανδροςel
PublisherELRAen
PublisherEuropean Language Resources Associationen
Content SummaryThe SpeDial consortium is sharing two datasets that were used during the SpeDial project. By sharing them with the community we are providing a resource to reduce the duration of cycle of development of new Spoken Dialogue Systems (SDSs). The datasets include audios and several manual annotations, i.e., miscommunication, anger, satisfaction, repetition, gender and task success. The datasets were created with data from real users and cover two different languages: English and Greek. Detectors for miscommunication, anger and gender were trained for both systems. The detectors were particularly accurate in tasks where humans have high annotator agreement such as miscommunication and gender. As expected due to the subjectivity of the task, the anger detector had a less satisfactory performance. Nevertheless, we proved that the automatic detection of situations that can lead to problems in SDSs is possible and can be a promising direction to reduce the duration of SDS's development cycle.en
Type of ItemΠλήρης Δημοσίευση σε Συνέδριοel
Type of ItemConference Full Paperen
Licensehttp://creativecommons.org/licenses/by/4.0/en
Date of Item2018-11-16-
Date of Publication2016-
SubjectEmotionsen
SubjectMulti-lingual dataen
SubjectSentiment analysisen
SubjectSpoken dialogue systemsen
Bibliographic CitationJ. Lopes, A. Chorianopoulou, E. Palogiannidi, H. Moniz, A. Abad, K. Louka, E. Iosif and A. Potamianos, "The SpeDial datasets: datasets for spoken dialogue systems analytics," in 10th International Conference on Language Resources and Evaluation, 2016, pp. 104-110. en

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