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Báo cáo khoa học: "Joint Satisfaction of Syntactic and Pragmatic Constraints Improves Incremental Spoken Language Understanding"

We present a model of semantic processing of spoken language that (a) is robust against ill-formed input, such as can be expected from automatic speech recognisers, (b) respects both syntactic and pragmatic constraints in the computation of most likely interpretations, (c) uses a principled, expressive semantic representation formalism (RMRS) with a well-defined model theory, and (d) works continuously (producing meaning representations on a wordby-word basis, rather than only for full utterances) and incrementally (computing only the additional contribution by the new word, rather than re-computing for the whole utterance-so-far). We show that the joint satisfaction of syntactic and pragmatic. | Joint Satisfaction of Syntactic and Pragmatic Constraints Improves Incremental Spoken Language Understanding Andreas Peldszus University of Potsdam Department for Linguistics peldszus@uni-potsdam.de Okko BuB University of Potsdam Department for Linguistics okko@ling.uni-potsdam.de Timo Baumann University of Hamburg Department for Informatics baumann@informatik.uni-hamburg.de David Schlangen University of Bielefeld Department for Linguistics david.schlangen@uni-bielefeld.de Abstract We present a model of semantic processing of spoken language that a is robust against ill-formed input such as can be expected from automatic speech recognisers b respects both syntactic and pragmatic constraints in the computation of most likely interpretations c uses a principled expressive semantic representation formalism RMRS with a well-defined model theory and d works continuously producing meaning representations on a word-by-word basis rather than only for full utterances and incrementally computing only the additional contribution by the new word rather than re-computing for the whole utterance-so-far . We show that the joint satisfaction of syntactic and pragmatic constraints improves the performance of the NLU component around 10 absolute over a syntax-only baseline . 1 Introduction Incremental processing for spoken dialogue systems i. e. the processing of user input even while it still may be extended has received renewed attention recently Aist et al. 2007 Baumann et al. 2009 BuB and Schlangen 2010 Skantze and Hjalmarsson 2010 DeVault et al. 2011 Purver et al. 2011 . Most of the practical work however has so far focussed on realising the potential for generating more responsive system behaviour through making available processing results earlier e. g. Skantze and Schlangen 2009 but has otherwise followed a typical pipeline architecture where processing results are passed only in one direction towards the next module. In this paper we investigate whether the other potential