This paper investigates several approaches to bootstrapping a new spoken language
understanding (SLU) component in a target language given a large dataset of semantically …

We present work on understanding natural language in a situated domain in an incremental,
word-by-word fashion. We explore a set of models specified as Markov Logic Networks and …

Multiuser Orthogonal Frequency Division Multiple Access (OFDMA) networks, such as Long
Term Evolution networks, use the frequency reuse-1 model to face the tremendous increase …

A common site of language use is interactive dialogue between two people situated together
in shared time and space. In this paper, we present a statistical model for understanding …

Probabilistic approaches are now widespread in most natural language processing
applications and selection of a particular approach usually depends on the task at hand …

In a spoken dialogue system, the dialogue manager needs to make decisions in a highly
noisy environment, mainly due to speech recognition and understanding errors. This work …

Due to errors from the speech recognition and spoken language understanding modules,
dialogue managers in spoken dialogue systems have to make decisions in uncertain …

The automatic speech understanding aims to extract the useful meaning of the oral
utterances. In this paper, we propose a hybrid original method for a robust automatic Arabic …

Dialog managers (DM) in spoken dialogue systems make decisions in highly uncertain
conditions, due to errors from the speech recognition and spoken language understanding …

The primary concern of this thesis is to model the resolution of spoken referring expressions
made in order to identify objects; in particular, everyday objects that can be perceived …