This paper implements a simple vector space model relying on lexico-syntactic patterns to distinguish between the paradigmatic relations synonymy, antonymy and hypernymy. Our study is performed across word classes, and models the lexical relations between German nouns, verbs and adjectives. Applying nearest-centroid classification to the relation vectors, we achieve a precision of 59.80%, which...

We propose a series of methods to represent the evolution of a field of science at different levels: namely micro, meso and macro levels. We use a previously introduced asymmetric measure of paradigmatic proximity between terms that enable us to extract structure from a large publications database. We apply our set of methods on a case study from the Complex Systems Community through the mappin...

The Associative Read-Out Model (AROM) suggests that associations between words can be defined by the log likelihood that they occur together more often in sentences than predicted by their single-word frequency. Moreover, semantic relations can be defined by associative spreading across many common associates. Here, we addressed developmental effects of associative and semantic priming. Thus, w...