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 …

We propose and evaluate a method for identifying co-hyponym lexical units in a
terminological resource. The principles of term recognition and distributional semantics are …

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 …

This article explores a statistical, language-independent methodology for the construction of
taxonomies of specialized domains from noisy corpora. In contrast to proposals that exploit …

This paper demonstrates how token-level Word Space Models (a distributional semantic
technique that was originally developed in statistical natural language processing) can be …

This report describes a series of exploratory experiments to establish whether terms of
different semantic type can be distinguished in useful ways in a semantic space constructed …

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

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 …

This paper uses methods based on corpus statistics and synonymy to explore the role
language history and sound/form relationships play in conceptual organization through a …

Many lexical semantic relations, such as the hyponymy relation, can be extracted from text
as they occur in detectable syntactic constructions. This paper shows how a hypernym …