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Although benchmarking has proven to be valuable for large businesses and organizations for quite sometime, up until recently, serious doubts existed as to its usefulness for smaller businesses. In this paper, we present the PDG ® , a benchmarking system meant to evaluate SMEs from an external perspective in order to produce a diagnosis of their performance(More)
The paper describes a system that extracts knowledge from technical English texts. Our basic assumption is that in technical texts syntax is a reliable indication of meaning. Consequently, semantic interpretation of the text starts from surface syntax. The linguistic component of the system uses a broad-coverage, domain-independent parser of English, as(More)
Agent-oriented methodologies and related modeling techniques have become a priority for the development of large scale agent-based systems. Several methodologies have been proposed for the development of multiagent systems (MAS). For the most part, these methodologies remain incomplete: they are either an extension of object-oriented methodo-logies or an(More)
The effective application of a data mining process is littered with many difficult and technical decisions (i.e. data cleansing, feature transformations, algorithms, parameters, evaluation). Subsequently, most data mining products provide a large number of models and tools, but few provide intelligent assistance for addressing the above-mentioned challenges(More)
In object-oriented (OO) software engineering, objects, attributes and processes are often specified in natural language descriptions. Following a precise methodology, we here look at the analysis phase of OO software engineering and show that robust computational linguistic tools initially developed for knowledge extraction from text can provide useful(More)
Sentence syntax is the basis for organizing semantic relations in TANKA, a project that aims to acquire knowledge from technical text. Other hallmarks include an absence of precoded domain-specific knowledge; significant use of public-domain generic linguistic information sources; involvement of the user as a judge and source of expertise; and learning from(More)
Case systems abound in natural language processing. Almost any attempt to recognize and uniformly represent relationships within a clause – a unit at the centre of any linguistic system that goes beyond word level statistics – must be based on semantic roles drawn from a small, closed set. The set of roles describing relationships between a verb and its(More)
BACKGROUND The electronic medical record (EMR) contains a rich source of information that could be harnessed for epidemic surveillance. We asked if structured EMR data could be coupled with computerized processing of free-text clinical entries to enhance detection of acute respiratory infections (ARI). METHODOLOGY A manual review of EMR records related to(More)