This paper describes the development of a rule-based computational model that describes how a feature-based representation of shared visual information combines with linguistic cu...
We present a machine learning approach to evaluating the wellformedness of output of a machine translation system, using classifiers that learn to distinguish human reference tran...
Simon Corston-Oliver, Michael Gamon, Chris Brocket...
Abstract: The goal of information extraction (IE) is to find desired pieces of information in natural language texts and store them in a form that is suitable for automatic queryi...
This paper explores the possibility of using the paradigm of Dynamic Logic (DL) to formalise information states and update processes on information states. In particular, we prese...
We develop a new approach to learning phrase translations from parallel corpora, and show that it performs with very high coverage and accuracy in choosing French translations of ...