It is common to find that the definition or common usage of a data modelling language causes there to be restrictions placed on the evolution of data values that are associated wit...
Distributional similarity has been widely used to capture the semantic relatedness of words in many NLP tasks. However, various parameters such as similarity measures must be hand...
In a series of publications, we have employed ontological theories and principles used to evaluate and improve the quality of conceptual modeling grammars and models. In this artic...
This paper proposes an approach using large scale case structures, which are automatically constructed from both a small tagged corpus and a large raw corpus, to improve Chinese d...
Abstract. The paper proposes a logical systematization of the notion of countsas which is grounded on a very simple intuition about what counts-as statements actually mean, i.e., f...