A spoken language understanding (SLU) system is described. It generates hypotheses of
conceptual constituents with a translation process. This process is performed by finite state …

In this work, we present an approach to take advantage of confidence measures obtained
during the recognition and understanding processes of a dialog system, in order to guide the …

We propose an efficient technique of dialogue management for an information navigation
system based on a document knowledge base. The system can use ASR N-best hypotheses …

We consider that factors such as prosody of systems' utterances and dialogue rhythm are
important to attain a natural human-machine dialogue. However, the relations between …

The paper presents a semantic interpretation strategy, for spoken dialogue systems,
including an error correction process. Semantic interpretations output by the spoken …

Recognition errors made by automatic speech recognition (ASR) systems may not prevent
the development of useful dialogue applications if the interpretation strategy has an …

The paper proposes a new application of automatically trained decision trees to derive the
interpretation of a spoken sentence. A new strategy for building structured cohorts of …

The aim of the study was to determine the influence of textual feedback on the content and
outcome of spoken interaction with a natural language dialogue system. More specifically …

The reliability of the confidence score is very important in Spoken Dialog System
performance. This paper describes a set of experiments with previously collected off-line …

Recent studies have led to the introduction of Speech-to-Concept End-to-End (E2E) neural
architectures for Spoken Language Understanding (SLU) that reach state of the art …