Guillermo Echegoyen

Mr. Guillermo Echegoyen

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Research Focus & Metrics

Academic Career Length

7Years (2020-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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25 June 2020 in Artificial Intelligence Review
Verified
Journal Article
Open access
PDF file
JDJan Deriu
Jan Deriu
ARAlvaro Rodrigo
Alvaro Rodrigo
AOArantxa Otegi
Arantxa Otegi
GEGuillermo Echegoyen
Guillermo Echegoyen
SRSophie Rosset
Sophie Rosset
MCMark Cieliebak
Mark Cieliebak
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.