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Die vorliegende Arbeit wurde im Rahmen des Verbundvorhabens Verbmobil vom Bundesministerium f ur Bildung, Wissenschaft, Forschung und Technologie (BMBF) unter dem F orderkennzeichen 01 IV 101 K / 1 gef ordert. Die Verant-wortung f ur den Inhalt dieser Arbeit liegt bei den AutorInnen. In the rst phase of the VERBMOBIL project ('93{'94) several project(More)
This paper presents automatic methods for the segmenta-tion and classication of dialog acts (DA). In Verbmobil it is often sucient to recognize the sequence of DAs occurring during a dialog between the two partners. Since a turn can consist of one or more successive D As we conduct the classication of DAs in a two step procedure: First each turn has to be(More)
Absfract-This article presents the speech understanding and dialog system EVAR. All levels of linguistic knowledge are used both to control the analysis process and for the interpretation of an utterance. All kinds of knowledge are integrated in a homogeneous knowledge base. The control algorithm used for the analysis is defined within the representation(More)
This article describes the dialog module of EVAR. The dialog is seen as a sequence of dialog acts uttered by the system and the user. From a corpus of real human-human dialogs a model was extracted. The model covers all sequences of dialog acts observed in the corpus. Each dialog act is modelled as a set of pragmatic, semantic and syntactic concepts. The(More)
In automatic speech understanding, division of continuous running speech into syntactic chunks is a great problem. Syntactic boundaries are often marked by prosodic means. For the training of statistical models for prosodic boundaries large databases are necessary. For the German Verbmobil (VM) project (automatic speech-to-speech translation), we developed(More)
This paper presents automatic methods for the classiication of dialog acts. In the verbmobil application (speech-to-speech translation of face-to-face dialogs) maximally 50 % of the utterances are analyzed in depth and for the rest, shallow processing takes place. The dialog component keeps track of the dialog with this shallow processing. For the(More)
Das diesem Bericht zugrundeliegende Forschungsvorhaben wurde mit Mitteln des Bundesministers f ur Forschung und Technologie unter dem F orderkenn-zeichen 01 IV 101 K/1 gef ordert. Die Verantwortung f ur den Inhalt dieser Arbeit liegt bei den Autoren. In the rst phase of the VERBMOBIL project ('93{'94) several project partners worked on diierent aspects of(More)
BACKGROUND Drug-related problems (DRP) following hospital discharge are common among elderly patients using multiple drugs for the treatment of chronic diseases. The aim of this study was to investigate the occurrence of DRP in these patients using a specific tool for the identification of DRP by community pharmacists. METHODS An observational study(More)
In this paper rst experiments with naive persons using the speech understanding and dialog system EVAR are discussed. The domain of EVAR is train table inquiry. We observed that in real human-human dialogs when the oocer transmits the information the customer very often interrupts. Many of these interruptions are just repetitions of the time of day given by(More)
AIMS In order to eventually improve blood pressure (BP) management, the aim of this study was to identify subgroups of type 2 diabetes mellitus (T2DM) patients with distinct trajectories of SBP levels. Identifying subgroups with distinct SBP trajectories helps to better understand the course of SBP levels in T2DM patients and its associated consequences.(More)