Bitte benutzen Sie diese Kennung, um auf die Ressource zu verweisen: https://doi.org/10.21256/zhaw-20318
Publikationstyp: Beitrag in wissenschaftlicher Zeitschrift
Art der Begutachtung: Editorial review
Titel: Survey on evaluation methods for dialogue systems
Autor/-in: Deriu, Jan Milan
Rodrigo, Alvaro
Otegi, Arantxa
Echegoyen, Guillermo
Rosset, Sophie
Agirre, Eneko
Cieliebak, Mark
et. al: No
DOI: 10.1007/s10462-020-09866-x
10.21256/zhaw-20318
Erschienen in: Artificial Intelligence Review
Band(Heft): 54
Heft: 1
Seite(n): 755
Seiten bis: 810
Erscheinungsdatum: 2020
Verlag / Hrsg. Institution: Springer
ISSN: 0269-2821
1573-7462
Sprache: Englisch
Schlagwörter: Dialogue systems; Artificial intelligence; Evaluation; Deep learning
Fachgebiet (DDC): 006: Spezielle Computerverfahren
Zusammenfassung: In this paper, we survey the methods and concepts developed for the evaluation of dialogue systems. Evaluation, in and of itself, is a crucial part during the development process. Often, dialogue systems are evaluated by means of human evaluations and questionnaires. However, this tends to be very cost- and time-intensive. Thus, much work has been put into finding methods which allow a reduction in involvement of human labour. In this survey, we present the main concepts and methods. For this, we differentiate between the various classes of dialogue systems (task-oriented, conversational, and question-answering dialogue systems). We cover each class by introducing the main technologies developed for the dialogue systems and then present the evaluation methods regarding that class.
URI: https://digitalcollection.zhaw.ch/handle/11475/20318
Volltext Version: Publizierte Version
Lizenz (gemäss Verlagsvertrag): CC BY 4.0: Namensnennung 4.0 International
Departement: School of Engineering
Organisationseinheit: Institut für Informatik (InIT)
Publiziert im Rahmen des ZHAW-Projekts: LIHLITH - Learning to Interact with Humans by Lifelong Interaction with Humans
Enthalten in den Sammlungen:Publikationen School of Engineering

Dateien zu dieser Ressource:
Datei Beschreibung GrößeFormat 
2020_Deriu-etal_Survey-on-evaluation-methods-for-dialogue-systems.pdf1.94 MBAdobe PDFMiniaturbild
Öffnen/Anzeigen
Zur Langanzeige
Deriu, J. M., Rodrigo, A., Otegi, A., Echegoyen, G., Rosset, S., Agirre, E., & Cieliebak, M. (2020). Survey on evaluation methods for dialogue systems. Artificial Intelligence Review, 54(1), 755–810. https://doi.org/10.1007/s10462-020-09866-x
Deriu, J.M. et al. (2020) ‘Survey on evaluation methods for dialogue systems’, Artificial Intelligence Review, 54(1), pp. 755–810. Available at: https://doi.org/10.1007/s10462-020-09866-x.
J. M. Deriu et al., “Survey on evaluation methods for dialogue systems,” Artificial Intelligence Review, vol. 54, no. 1, pp. 755–810, 2020, doi: 10.1007/s10462-020-09866-x.
DERIU, Jan Milan, Alvaro RODRIGO, Arantxa OTEGI, Guillermo ECHEGOYEN, Sophie ROSSET, Eneko AGIRRE und Mark CIELIEBAK, 2020. Survey on evaluation methods for dialogue systems. Artificial Intelligence Review. 2020. Bd. 54, Nr. 1, S. 755–810. DOI 10.1007/s10462-020-09866-x
Deriu, Jan Milan, Alvaro Rodrigo, Arantxa Otegi, Guillermo Echegoyen, Sophie Rosset, Eneko Agirre, and Mark Cieliebak. 2020. “Survey on Evaluation Methods for Dialogue Systems.” Artificial Intelligence Review 54 (1): 755–810. https://doi.org/10.1007/s10462-020-09866-x.
Deriu, Jan Milan, et al. “Survey on Evaluation Methods for Dialogue Systems.” Artificial Intelligence Review, vol. 54, no. 1, 2020, pp. 755–810, https://doi.org/10.1007/s10462-020-09866-x.


Alle Ressourcen in diesem Repository sind urheberrechtlich geschützt, soweit nicht anderweitig angezeigt.