Joint satisfaction of syntactic and pragmatic constraints improves incremental spoken language understanding

Authors:
Andreas Peldszus;Timo Baumann;Okko Buß;David Schlangen
Affiliations:
University of Potsdam;University of Hamburg;University of Potsdam;University of Bielefeld
Venue:
EACL '12 Proceedings of the 13th Conference of the European Chapter of the Association for Computational Linguistics
Year:
2012

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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).