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Speech understanding for spoken dialogue systems: from corpus harvesting to grammar rule induction

Iosif Ilias, Klasinas Ioannis, Athanasopoulou Georgia, Palogiannidi Elisavet, Georgiladakis Spyridon, Louka Katerina, Potamianos Alexandros

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Extent26 pagesen
TitleSpeech understanding for spoken dialogue systems: from corpus harvesting to grammar rule inductionen
CreatorIosif Iliasen
CreatorΙωσηφ Ηλιαςel
CreatorKlasinas Ioannisen
CreatorΚλασινας Ιωαννηςel
CreatorAthanasopoulou Georgiaen
CreatorΑθανασοπουλου Γεωργιαel
CreatorPalogiannidi Elisaveten
CreatorΠαλογιαννιδη Ελισαβετel
CreatorGeorgiladakis Spyridonen
CreatorΓεωργιλαδακης Σπυριδωνel
CreatorLouka Katerinaen
CreatorPotamianos Alexandrosen
CreatorΠοταμιανος Αλεξανδροςel
Content SummaryWe investigate algorithms and tools for the semi-automatic authoring of grammars for spoken dialogue systems (SDS) proposing a framework that spans from corpora creation to grammar induction algorithms. A realistic human-in-the-loop approach is followed balancing automation and human intervention to optimize cost to performance ratio for grammar development. Web harvesting is the main approach investigated for eliciting spoken dialogue textual data, while crowdsourcing is also proposed as an alternative method. Several techniques are presented for constructing web queries and filtering the acquired corpora. We also investigate how the harvested corpora can be used for the automatic and semi-automatic (human-in-the-loop) induction of grammar rules. SDS grammar rules and induction algorithms are grouped into two types, namely, low- and high-level. Two families of algorithms are investigated for rule induction: one based on semantic similarity and distributional semantic models, and the other using more traditional statistical modeling approaches (e.g., slot-filling algorithms using Conditional Random Fields). Evaluation results are presented for two domains and languages. High-level induction precision scores up to 60% are obtained. Results advocate the portability of the proposed features and algorithms across languages and domains.en
Type of ItemPeer-Reviewed Journal Publicationen
Type of ItemΔημοσίευση σε Περιοδικό με Κριτέςel
Date of Item2019-11-14-
Date of Publication2018-
SubjectCorpora creationen
SubjectGrammar inductionen
SubjectSemantic similarityen
SubjectSpoken dialogue systemsen
SubjectWeb miningen
Bibliographic CitationE. Iosif, I. Klasinas, G. Athanasopoulou, E. Palogiannidi, S. Georgiladakis, K. Louka and A. Potamianos, "Speech understanding for spoken dialogue systems: from corpus harvesting to grammar rule induction," Comput. Speech Lang., vol. 47, pp. 272-297, Jan. 2018. doi: 10.1016/j.csl.2017.08.002en