Abstract Knowledge is assumed by cognitive science to consist of concepts that are
organised and maintained by complex processes taking place in human minds. These …

Corpus-based lexical studies on specialized domains and for specific purposes normally
rely on small corpora, which, in the case of written ones, range from 250,000 to around 6 …

This thesis describes a novel methodology, grounded in the distributional semantic
paradigm, for building context sensitive models of word meaning, affording an empirical …

Properties play a central role in most theories of conceptual knowledge. Since
computational models derived from word co-occurrence statistics have been claimed to …

The present study is part of a larger research project with the goal of developing tools for
large-scale corpus-based semantic analyses. One such tool involves representing semantic …

Some words are more contentful than others: for instance, make is intuitively more general
than produce and fifteen is more 'precise'than a group. In this paper, we propose to measure …

From context to meaning: Distributional models of the lexicon in linguistics and cognitive
science, special issue of the Italian Journal of Linguistics IRIS IRIS Home Sfoglia Macrotipologie …

Distributional semantics embodies the idea that the context in which a word occurs reveals
the meaning of that word. In contemporary corpus linguistics, that idea takes shape in …

Semantic space models are a representation formalism for lexical semantics which
represents words as vectors in a high-dimensional space. The distances between word …