Error Handling In The Ravenclaw Dialog Management Framework
LinkedIn Reddit Download Full-text PDF Error handling in the RavenClaw dialog management frameworkArticle (PDF Available) · November 2005 with 18 ReadsDOI: 10.3115/1220575.1220604 1st Dan Bohus8.85 · Microsoft2nd Alexander I. Rudnicky30.79 · Carnegie Mellon UniversityAbstractWe describe the error handling architect-ture underlying the RavenClaw dialog management framework. The architecture provides a robust basis for current and fu-ture research in error detection and recov-ery. Several objectives were pursued in its development: task-independence, ease-of-use, adaptability and scalability. We de-scribe the key aspects of architectural de-sign which confer these properties, and discuss the deployment of this architect-ture in a number of spoken dialog systems spanning several domains and interaction types. Finally, we outline current research projects supported by this architecture.Discover the world's research10+ million members100+ million publications100k+ research projectsJoin for free FiguresEnlarge Full-text (PDF)DOI: ·Available from: Alexander I. RudnickyDownload Full-text PDF CitationsCitations15ReferencesReferences16Learning to Balance Grounding Rationales for Dialogue Systems."To limit communication errors, an SDS can rely on strategies to detect and recover from incorrect recognition output (Bohus, 2007). In others' work, the grounding status of an utterance is typically binary (i.e., understood or not) (Allen, Ferguson and Stent, 2001; Bohus and Rudnicky, 2005; Paek and Horvitz, 2000) or ternary (i.e., understood, misunderstood, not understood) (Bohus and Rudnicky, 2009). FORRSooth's grounding decisions rely on a mixture of strategies , are based on degrees of evidence (Bohus and Rudnicky, 2009; Roque and Traum, 2009), and disambiguate among candidate interpretations . "[Show abstract] [Hide abstract] ABSTRACT: This paper reports on an experiment that investigates clarification subdialogues in intentionally noisy speech recognition. The architecture learns weights for mixtures of grounding strategies from examples provided by a human wizard embedded in the system. Results indicate that the architecture learns to eliminate misunderstandings reliably despite high word error rate. Full-text · Conference Paper · Jan 2011 Joshua B. GordonRebecca J. PassonneauSusan L. EpsteinRead full-textEmbedded Wizardry."CheckItOut, our baseline SDS, employs the Olympus/RavenClaw architecture developed at Carnegie Mellon University (CMU) (Raux et al., 2005; Bohus and Rudnicky, 2009 ). SDS modules communicate via message passing, c
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von GoogleAnmeldenAusgeblendete FelderBooksbooks.google.de - th The 15 International Conference on Applications of Natural https://books.google.com/books?id=EMy5NxbV1h0C&pg=PA127&lpg=PA127&dq=error+handling+in+the+ravenclaw+dialog+management+framework&source=bl&ots=khiwHeA4u5&sig=bX9Avyo_xqpKWXTZAghzLL1CHZ0&hl=en&sa=X&ved=0ahUKEwjOotvAlszPA Language to Information Systems (NLDB 2010) took place during June 23–25 in Cardiff (UK). Since the first edition in 1995, the NLDB conference has been aiming at bringing together resear- ers, people working in industry and error handling potential users...https://books.google.de/books/about/Natural_Language_Processing_and_Informat.html?hl=de&id=EMy5NxbV1h0C&utm_source=gb-gplus-shareNatural Language Processing and Information SystemsMeine BücherHilfeErweiterte BuchsucheE-Book anzeigenNach Druckexemplar suchenSpringer ShopAmazon.deBuch.deBuchkatalog.deLibri.deWeltbild.de - €80,24In Bücherei suchenAlle Händler»Natural Language Processing and Information Systems: 15th International Conference on Applications of Natural Language to Information Systems, NLDB 2010, Cardiff, error handling in UK, June 23-25, 2010, ProceedingsChristina J Hopfe, Yacine Rezgui, Elisabeth Métais, Alun Preece, Haijiang LiSpringer Science & Business Media, 17.06.2010 - 327 Seiten 0 Rezensionenhttps://books.google.de/books/about/Natural_Language_Processing_and_Informat.html?hl=de&id=EMy5NxbV1h0Cth The 15 International Conference on Applications of Natural Language to Information Systems (NLDB 2010) took place during June 23–25 in Cardiff (UK). Since the first edition in 1995, the NLDB conference has been aiming at bringing together resear- ers, people working in industry and potential users interested in various applications of natural language in the database and information system area. However, in order to reflect the growing importance of accessing information from a diverse collection of sources (Web, Databases, Sensors, Cloud) in an equall
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