This paper discusses the problem of learning language from unprocessed text and speech signals, concentrating on the problem of learning a lexicon. In particular, it argues for a ...
—Natural human-robot interaction requires different and more robust models of language understanding (NLU) than non-embodied NLU systems. In particular, architectures are require...
Rehj Cantrell, Matthias Scheutz, Paul W. Schermerh...
The semantic annotation of documents is an additional advantage for retrieval, as long as the annotations and their maintenance process scale well. Automatic or semi-automatic ann...
Abstract. Geographic Information Retrieval (GIR) is a specialized Information Retrieval (IR) branch that deals with information related to geographical locations. Traditional IR en...
We present two simple but effective smoothing techniqes for the standard language model (LM) approach to information retrieval [12]. First, we extend the unigram Dirichlet smoothi...