In this paper, we describe a method for automatic acquisition of script knowledge from a Japanese text collection. Script knowledge represents a typical sequence of actions that o...
This paper presents a study that uses simulation to improve shop floor performance by means of two layout types and certain operational parameters. In this study, an overview of t...
This paper presents a method that conbines a set of unsupervised algorithms in order to accurately build large taxonomies from any machine-readable dictionary (MRD). Our aim is to...
The problem of eciently retrieving and ranking documents from a huge collection according to their relevance to a research topic is addressed. A broad class of queries is dened a...
This paper presents SHIRI-Querying 3 , an approach for semantic search on semi-structured documents. We propose a solution to tackle incompleteness and imprecision of semantic anno...