CUED Publications database

Analysis of an extended interaction quality corpus

Ultes, S and Sánchez, MJP and Schmitt, A and Minker, W (2015) Analysis of an extended interaction quality corpus. In: Natural Language Dialog Systems and Intelligent Assistants. UNSPECIFIED, pp. 41-52.

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© Springer International Publishing Switzerland 2015. All rights are reserved. The interaction quality paradigm has been suggested as evaluation method for spoken dialogue systems and several experiments based on the LEGO corpus have shown its suitability. However, the corpus size was rather limited resulting in insufficient data for some mathematical models. Hence, we present an extension to the LEGO corpus.We validate the annotation process and further show that applying support vector machine estimation results in similar performance on the original, the new and the combined data. Finally, we test previous statements about applying a Conditioned Hidden Markov Model or Rule Induction classification using the new data set.

Item Type: Book Section
Divisions: Div F > Machine Intelligence
Depositing User: Cron Job
Date Deposited: 17 Jul 2017 19:05
Last Modified: 07 Aug 2018 03:46