We address the task of computing vector space representations for the meaning of word occurrences, which can vary widely according to context. This task is a crucial step towards ...
We propose a non-parametric Bayesian model for unsupervised semantic parsing. Following Poon and Domingos (2009), we consider a semantic parsing setting where the goal is to (1) d...
We present a novel approach for building verb subcategorization lexicons using a simple graphical model. In contrast to previous methods, we show how the model can be trained with...
Thomas Lippincott, Anna Korhonen, Diarmuid Ó...
— We present an ant model that solves a discrete foraging problem. We describe simulations and provide a complete convergence analysis: we show that the ant population computes t...
Abstract. The Object Constraint Language (OCL) can be used to capture strucnstraints in the context of the abstract syntax of modelling languages (metamodels) defined in the MOF me...
Dimitrios S. Kolovos, Richard F. Paige, Fiona A. C...