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Incremental spoken dialogue systems, which process user input as it unfolds, pose additional engineering challenges compared to more standard non-incremental systems: Their processing components must be able to accept partial, and possibly subsequently revised input, and must produce output that is at the same time as accurate as possible and delivered with(More)
The results of investigations on the morphology, physiology, pigment composition, light-harvesting antenna and reaction center organization, and electron carriers of five Erythromicrobium representatives, and on phylogenetic relations among them, are summarized. On the basis of clear phenotypic differences and distinct phylogenetic positions shown by 16S(More)
When dialogue systems, through the use of incremental processing, are not bounded anymore by strict, non-overlapping turn-taking, a whole range of additional interactional devices becomes available. We explore the use of one such device, trial intonation. We elaborate our approach to dialogue management in incremental systems, based on the(More)
We describe work done at three sites on designing conversational agents capable of incremental processing. We focus on the 'middleware' layer in these systems, which takes care of passing around and maintaining incremental information between the modules of such agents. All implementations are based on the abstract model of incremental dialogue processing(More)
The sequences of the 16S rRNA gene of 40 strains of bacterial symbionts isolated from the nematodes Heterorhabditis spp. and seven bacterial symbionts of the nematodes Steinernema spp. which were isolated from different geographical areas, as well as the type strain of Xenorhabdus japonicus, were determined and compared to each other and to the sequences of(More)
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(More)
Incremental processing offers the potential for dialogue systems to produce more natural , spontaneous conversational behaviour. This processing strategy comes at a price, though, which is that processing results may have to be revised when more input becomes available. We distinguish between two possible consequences of such revisions: a) If no observable(More)
The potential of using ASR n-best lists for dialogue systems has often been recognised (if less often realised): it is often the case that even when the top-ranked hypothesis is erroneous, a better one can be found at a lower rank. In this paper, we describe metrics for evaluating whether the same potential carries over to incremental dialogue systems,(More)